{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\cv4w\Box\CraigNew\CEL\Research\Accountability\Primaries\ReplicationFiles\Replication_log_JOP_200640.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Sep 2021, 15:26:39

{com}. use "C:\Users\cv4w\Box\CraigNew\CEL\Research\Accountability\Primaries\ReplicationFiles\JOP_200640.dta"

. do "C:\Users\cv4w\Box\CraigNew\CEL\Research\Accountability\Primaries\ReplicationFiles\JOP_200640_dofile.do"
{txt}
{com}. * This file contains the replication details for Tables and Figures in JOP, ms#200640
. * This do-file should be run on the data JOP_200640.dta
. 
. * Select the details of the time-series and cross-sectional elements of the data
. xtset bonicaridDT_num yearDT
{res}{txt}{col 8}panel variable:  {res}bonicaridDT_num (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}yearDT, 1980 to 2016, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. set more off
{txt}
{com}. 
. *******************************************************
. *** JOP MAIN MODELS, TABLES, FIGURES AND ROBUSTNESS ***
. *******************************************************
. 
. * TABLE 1: QUALITY CHALLENGERS
. * MODEL 1.1: 
. zip sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1797.1308}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1780.0693}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1765.0809}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1764.5129}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1764.5117}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1764.5117}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}26{txt})     = {res}    396.08
{txt}Log pseudolikelihood = {res}-1764.512                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1837237{col 31}{space 2} .0733166{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-.3274215{col 72}{space 3}-.0400258
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.323459{col 31}{space 2} .2156755{col 42}{space 1}   -6.14{col 51}{space 3}0.000{col 59}{space 4}-1.746175{col 72}{space 3}-.9007424
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0384883{col 31}{space 2} .0041864{col 42}{space 1}    9.19{col 51}{space 3}0.000{col 59}{space 4} .0302831{col 72}{space 3} .0466935
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}  -.74625{col 31}{space 2} .1578018{col 42}{space 1}   -4.73{col 51}{space 3}0.000{col 59}{space 4}-1.055536{col 72}{space 3}-.4369642
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.1181958{col 31}{space 2} .1780489{col 42}{space 1}   -0.66{col 51}{space 3}0.507{col 59}{space 4}-.4671651{col 72}{space 3} .2307736
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.2586327{col 31}{space 2}  .125275{col 42}{space 1}   -2.06{col 51}{space 3}0.039{col 59}{space 4}-.5041672{col 72}{space 3}-.0130982
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.4044116{col 31}{space 2} .2865562{col 42}{space 1}   -1.41{col 51}{space 3}0.158{col 59}{space 4}-.9660515{col 72}{space 3} .1572283
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} .0080533{col 31}{space 2} .1444831{col 42}{space 1}    0.06{col 51}{space 3}0.956{col 59}{space 4}-.2751285{col 72}{space 3}  .291235
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0824847{col 31}{space 2}  .310595{col 42}{space 1}    0.27{col 51}{space 3}0.791{col 59}{space 4}-.5262703{col 72}{space 3} .6912398
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.1441365{col 31}{space 2} .3791465{col 42}{space 1}   -0.38{col 51}{space 3}0.704{col 59}{space 4}  -.88725{col 72}{space 3}  .598977
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} -.405413{col 31}{space 2} .3445865{col 42}{space 1}   -1.18{col 51}{space 3}0.239{col 59}{space 4} -1.08079{col 72}{space 3} .2699641
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} -.461866{col 31}{space 2} .3633783{col 42}{space 1}   -1.27{col 51}{space 3}0.204{col 59}{space 4}-1.174074{col 72}{space 3} .2503424
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.0122001{col 31}{space 2}  .341175{col 42}{space 1}   -0.04{col 51}{space 3}0.971{col 59}{space 4}-.6808908{col 72}{space 3} .6564906
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .8877149{col 31}{space 2} .2892581{col 42}{space 1}    3.07{col 51}{space 3}0.002{col 59}{space 4} .3207794{col 72}{space 3}  1.45465
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .1126204{col 31}{space 2} .3218828{col 42}{space 1}    0.35{col 51}{space 3}0.726{col 59}{space 4}-.5182582{col 72}{space 3}  .743499
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}  .114556{col 31}{space 2} .4052139{col 42}{space 1}    0.28{col 51}{space 3}0.777{col 59}{space 4}-.6796486{col 72}{space 3} .9087606
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.6898274{col 31}{space 2} .3900334{col 42}{space 1}   -1.77{col 51}{space 3}0.077{col 59}{space 4}-1.454279{col 72}{space 3}  .074624
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.5159118{col 31}{space 2} .3735933{col 42}{space 1}   -1.38{col 51}{space 3}0.167{col 59}{space 4}-1.248141{col 72}{space 3} .2163175
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .1084666{col 31}{space 2} .3497236{col 42}{space 1}    0.31{col 51}{space 3}0.756{col 59}{space 4} -.576979{col 72}{space 3} .7939122
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .2339153{col 31}{space 2} .3327318{col 42}{space 1}    0.70{col 51}{space 3}0.482{col 59}{space 4}-.4182271{col 72}{space 3} .8860577
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .2369116{col 31}{space 2} .3431067{col 42}{space 1}    0.69{col 51}{space 3}0.490{col 59}{space 4}-.4355652{col 72}{space 3} .9093885
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .6145834{col 31}{space 2} .3270081{col 42}{space 1}    1.88{col 51}{space 3}0.060{col 59}{space 4}-.0263406{col 72}{space 3} 1.255507
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .6679551{col 31}{space 2}  .306613{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4} .0670046{col 72}{space 3} 1.268906
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .7891753{col 31}{space 2} .3029689{col 42}{space 1}    2.60{col 51}{space 3}0.009{col 59}{space 4} .1953673{col 72}{space 3} 1.382983
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.1098437{col 31}{space 2} .3384808{col 42}{space 1}   -0.32{col 51}{space 3}0.746{col 59}{space 4}-.7732539{col 72}{space 3} .5535666
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .7131002{col 31}{space 2}  .297911{col 42}{space 1}    2.39{col 51}{space 3}0.017{col 59}{space 4} .1292054{col 72}{space 3} 1.296995
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.3055845{col 31}{space 2} .3731059{col 42}{space 1}   -0.82{col 51}{space 3}0.413{col 59}{space 4}-1.036859{col 72}{space 3} .4256897
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .6061897{col 31}{space 2} .1930199{col 42}{space 1}    3.14{col 51}{space 3}0.002{col 59}{space 4} .2278777{col 72}{space 3} .9845016
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 1.2: 
. zip sumqualchall i.expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1795.9016}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1782.3859}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1764.0762}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1763.1974}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1763.1942}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1763.1942}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}27{txt})     = {res}    395.79
{txt}Log pseudolikelihood = {res}-1763.194                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         sumqualchall{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall          {txt}{c |}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2}-.3254794{col 35}{space 2} .1143264{col 46}{space 1}   -2.85{col 55}{space 3}0.004{col 63}{space 4}-.5495551{col 76}{space 3}-.1014037
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2}-.3166052{col 35}{space 2} .1410763{col 46}{space 1}   -2.24{col 55}{space 3}0.025{col 63}{space 4}-.5931097{col 76}{space 3}-.0401007
{txt}{space 21} {c |}
{space 11}pripct_lag {c |}{col 23}{res}{space 2}-1.340117{col 35}{space 2} .2159664{col 46}{space 1}   -6.21{col 55}{space 3}0.000{col 63}{space 4}-1.763404{col 76}{space 3}-.9168307
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2} .0383521{col 35}{space 2} .0041863{col 46}{space 1}    9.16{col 55}{space 3}0.000{col 63}{space 4}  .030147{col 76}{space 3} .0465571
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2}-.7507869{col 35}{space 2} .1575419{col 46}{space 1}   -4.77{col 55}{space 3}0.000{col 63}{space 4}-1.059563{col 76}{space 3}-.4420104
{txt}{space 15}gender {c |}{col 23}{res}{space 2}-.1089043{col 35}{space 2} .1780108{col 46}{space 1}   -0.61{col 55}{space 3}0.541{col 63}{space 4}-.4577989{col 76}{space 3} .2399904
{txt}{space 16}power {c |}{col 23}{res}{space 2}-.2550514{col 35}{space 2} .1251335{col 46}{space 1}   -2.04{col 55}{space 3}0.042{col 63}{space 4}-.5003085{col 76}{space 3}-.0097943
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.4042571{col 35}{space 2} .2854279{col 46}{space 1}   -1.42{col 55}{space 3}0.157{col 63}{space 4}-.9636854{col 76}{space 3} .1551713
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2} .0097743{col 35}{space 2} .1455478{col 46}{space 1}    0.07{col 55}{space 3}0.946{col 63}{space 4}-.2754941{col 76}{space 3} .2950427
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .0957796{col 35}{space 2} .3091261{col 46}{space 1}    0.31{col 55}{space 3}0.757{col 63}{space 4}-.5100965{col 76}{space 3} .7016557
{txt}{space 16}1984  {c |}{col 23}{res}{space 2}-.1390182{col 35}{space 2} .3780647{col 46}{space 1}   -0.37{col 55}{space 3}0.713{col 63}{space 4}-.8800114{col 76}{space 3} .6019751
{txt}{space 16}1986  {c |}{col 23}{res}{space 2}-.3909394{col 35}{space 2} .3439083{col 46}{space 1}   -1.14{col 55}{space 3}0.256{col 63}{space 4}-1.064987{col 76}{space 3} .2831085
{txt}{space 16}1988  {c |}{col 23}{res}{space 2}-.4587124{col 35}{space 2}  .361546{col 46}{space 1}   -1.27{col 55}{space 3}0.205{col 63}{space 4} -1.16733{col 76}{space 3} .2499049
{txt}{space 16}1990  {c |}{col 23}{res}{space 2}-.0072916{col 35}{space 2} .3394517{col 46}{space 1}   -0.02{col 55}{space 3}0.983{col 63}{space 4}-.6726047{col 76}{space 3} .6580216
{txt}{space 16}1992  {c |}{col 23}{res}{space 2} .9106252{col 35}{space 2} .2863855{col 46}{space 1}    3.18{col 55}{space 3}0.001{col 63}{space 4} .3493199{col 76}{space 3} 1.471931
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .1177311{col 35}{space 2} .3210167{col 46}{space 1}    0.37{col 55}{space 3}0.714{col 63}{space 4}  -.51145{col 76}{space 3} .7469123
{txt}{space 16}1996  {c |}{col 23}{res}{space 2}  .111464{col 35}{space 2} .4045736{col 46}{space 1}    0.28{col 55}{space 3}0.783{col 63}{space 4}-.6814856{col 76}{space 3} .9044136
{txt}{space 16}1998  {c |}{col 23}{res}{space 2}-.6960602{col 35}{space 2} .3892821{col 46}{space 1}   -1.79{col 55}{space 3}0.074{col 63}{space 4}-1.459039{col 76}{space 3} .0669187
{txt}{space 16}2000  {c |}{col 23}{res}{space 2}-.5066433{col 35}{space 2} .3713495{col 46}{space 1}   -1.36{col 55}{space 3}0.172{col 63}{space 4}-1.234475{col 76}{space 3} .2211883
{txt}{space 16}2002  {c |}{col 23}{res}{space 2} .1196568{col 35}{space 2} .3480459{col 46}{space 1}    0.34{col 55}{space 3}0.731{col 63}{space 4}-.5625006{col 76}{space 3} .8018141
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .2441481{col 35}{space 2} .3312993{col 46}{space 1}    0.74{col 55}{space 3}0.461{col 63}{space 4}-.4051865{col 76}{space 3} .8934828
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .2505174{col 35}{space 2} .3410422{col 46}{space 1}    0.73{col 55}{space 3}0.463{col 63}{space 4}-.4179129{col 76}{space 3} .9189477
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .6397069{col 35}{space 2} .3263937{col 46}{space 1}    1.96{col 55}{space 3}0.050{col 63}{space 4}-.0000131{col 76}{space 3} 1.279427
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .6701103{col 35}{space 2} .3046748{col 46}{space 1}    2.20{col 55}{space 3}0.028{col 63}{space 4} .0729587{col 76}{space 3} 1.267262
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .7971073{col 35}{space 2} .3009636{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4} .2072295{col 76}{space 3} 1.386985
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.0990734{col 35}{space 2} .3372541{col 46}{space 1}   -0.29{col 55}{space 3}0.769{col 63}{space 4}-.7600793{col 76}{space 3} .5619324
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .7253896{col 35}{space 2}  .296113{col 46}{space 1}    2.45{col 55}{space 3}0.014{col 63}{space 4} .1450189{col 76}{space 3}  1.30576
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-.4400056{col 35}{space 2} .3472574{col 46}{space 1}   -1.27{col 55}{space 3}0.205{col 63}{space 4}-1.120618{col 76}{space 3} .2406064
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate               {txt}{c |}
{space 16}_cons {c |}{col 23}{res}{space 2} .6085018{col 35}{space 2} .1921938{col 46}{space 1}    3.17{col 55}{space 3}0.002{col 63}{space 4} .2318089{col 76}{space 3} .9851946
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 1.3:
. zip sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1449.1011}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1372.0087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1366.2988}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1360.483}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1359.7056}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1359.704}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1300.6602}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1298.6056}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1297.4511}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1297.439}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1297.439}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     1,894

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}26{txt})     = {res}    148.54
{txt}Log pseudolikelihood = {res}-1297.439                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1382641{col 31}{space 2} .0664317{col 42}{space 1}   -2.08{col 51}{space 3}0.037{col 59}{space 4}-.2684679{col 72}{space 3}-.0080603
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.4524376{col 31}{space 2} .2359472{col 42}{space 1}   -1.92{col 51}{space 3}0.055{col 59}{space 4}-.9148855{col 72}{space 3} .0100104
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0231631{col 31}{space 2} .0041501{col 42}{space 1}    5.58{col 51}{space 3}0.000{col 59}{space 4}  .015029{col 72}{space 3} .0312972
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.4979856{col 31}{space 2} .1622729{col 42}{space 1}   -3.07{col 51}{space 3}0.002{col 59}{space 4}-.8160347{col 72}{space 3}-.1799365
{txt}{space 11}gender {c |}{col 19}{res}{space 2} -.123732{col 31}{space 2} .1607912{col 42}{space 1}   -0.77{col 51}{space 3}0.442{col 59}{space 4}-.4388769{col 72}{space 3}  .191413
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.2411416{col 31}{space 2} .1182849{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4}-.4729757{col 72}{space 3}-.0093075
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.5212951{col 31}{space 2} .2912933{col 42}{space 1}   -1.79{col 51}{space 3}0.074{col 59}{space 4}-1.092219{col 72}{space 3} .0496292
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1349203{col 31}{space 2} .1390136{col 42}{space 1}   -0.97{col 51}{space 3}0.332{col 59}{space 4}-.4073819{col 72}{space 3} .1375413
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0500043{col 31}{space 2} .2981013{col 42}{space 1}    0.17{col 51}{space 3}0.867{col 59}{space 4}-.5342634{col 72}{space 3} .6342721
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.3381055{col 31}{space 2} .3683973{col 42}{space 1}   -0.92{col 51}{space 3}0.359{col 59}{space 4}-1.060151{col 72}{space 3} .3839399
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.5201742{col 31}{space 2} .3335464{col 42}{space 1}   -1.56{col 51}{space 3}0.119{col 59}{space 4}-1.173913{col 72}{space 3} .1335648
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.2247481{col 31}{space 2} .3468138{col 42}{space 1}   -0.65{col 51}{space 3}0.517{col 59}{space 4}-.9044906{col 72}{space 3} .4549945
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .0903675{col 31}{space 2} .3188512{col 42}{space 1}    0.28{col 51}{space 3}0.777{col 59}{space 4}-.5345694{col 72}{space 3} .7153045
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .6562518{col 31}{space 2} .2698744{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .1273076{col 72}{space 3} 1.185196
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .1885282{col 31}{space 2} .3076259{col 42}{space 1}    0.61{col 51}{space 3}0.540{col 59}{space 4}-.4144074{col 72}{space 3} .7914638
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .2096818{col 31}{space 2} .3749544{col 42}{space 1}    0.56{col 51}{space 3}0.576{col 59}{space 4}-.5252154{col 72}{space 3} .9445789
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.2785799{col 31}{space 2} .3716636{col 42}{space 1}   -0.75{col 51}{space 3}0.454{col 59}{space 4}-1.007027{col 72}{space 3} .4498674
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1306092{col 31}{space 2}  .352459{col 42}{space 1}   -0.37{col 51}{space 3}0.711{col 59}{space 4}-.8214163{col 72}{space 3} .5601978
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .2762649{col 31}{space 2} .3285049{col 42}{space 1}    0.84{col 51}{space 3}0.400{col 59}{space 4}-.3675928{col 72}{space 3} .9201226
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .4223573{col 31}{space 2} .3117802{col 42}{space 1}    1.35{col 51}{space 3}0.176{col 59}{space 4}-.1887207{col 72}{space 3} 1.033435
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .4191012{col 31}{space 2} .3256218{col 42}{space 1}    1.29{col 51}{space 3}0.198{col 59}{space 4}-.2191057{col 72}{space 3} 1.057308
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .7497513{col 31}{space 2} .3054501{col 42}{space 1}    2.45{col 51}{space 3}0.014{col 59}{space 4}   .15108{col 72}{space 3} 1.348423
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .4388408{col 31}{space 2} .2887785{col 42}{space 1}    1.52{col 51}{space 3}0.129{col 59}{space 4}-.1271546{col 72}{space 3} 1.004836
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .3645254{col 31}{space 2} .2839529{col 42}{space 1}    1.28{col 51}{space 3}0.199{col 59}{space 4}-.1920121{col 72}{space 3} .9210629
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3878491{col 31}{space 2} .3301413{col 42}{space 1}   -1.17{col 51}{space 3}0.240{col 59}{space 4}-1.034914{col 72}{space 3}  .259216
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .2908634{col 31}{space 2} .2870427{col 42}{space 1}    1.01{col 51}{space 3}0.311{col 59}{space 4}-.2717299{col 72}{space 3} .8534568
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.6776576{col 31}{space 2} .3860398{col 42}{space 1}   -1.76{col 51}{space 3}0.079{col 59}{space 4}-1.434282{col 72}{space 3} .0789664
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-1.146168{col 31}{space 2} .4794345{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-2.085843{col 72}{space 3} -.206494
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 1.4: 
. zip sumchall15pct expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1361.1829}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1284.4274}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1271.503}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1265.2054}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1264.9082}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1264.7882}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1264.716}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1196.529}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1187.0413}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1184.5395}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1184.5213}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1184.5213}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       433
                                                {txt}Zero obs          = {res}     1,898

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}26{txt})     = {res}    194.25
{txt}Log pseudolikelihood = {res}-1184.521                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    sumchall15pct{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumchall15pct     {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1893601{col 31}{space 2} .0637603{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4} -.314328{col 72}{space 3}-.0643922
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.9306267{col 31}{space 2} .2137984{col 42}{space 1}   -4.35{col 51}{space 3}0.000{col 59}{space 4}-1.349664{col 72}{space 3}-.5115896
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0237727{col 31}{space 2} .0034359{col 42}{space 1}    6.92{col 51}{space 3}0.000{col 59}{space 4} .0170385{col 72}{space 3}  .030507
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.2375595{col 31}{space 2}  .142238{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-.5163408{col 72}{space 3} .0412218
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.2784118{col 31}{space 2} .1551918{col 42}{space 1}   -1.79{col 51}{space 3}0.073{col 59}{space 4}-.5825821{col 72}{space 3} .0257585
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.4501873{col 31}{space 2} .1477602{col 42}{space 1}   -3.05{col 51}{space 3}0.002{col 59}{space 4} -.739792{col 72}{space 3}-.1605826
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-1.596977{col 31}{space 2} .5065783{col 42}{space 1}   -3.15{col 51}{space 3}0.002{col 59}{space 4}-2.589852{col 72}{space 3}-.6041021
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1422927{col 31}{space 2} .1329171{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}-.4028053{col 72}{space 3}   .11822
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2}-.2065919{col 31}{space 2} .2299954{col 42}{space 1}   -0.90{col 51}{space 3}0.369{col 59}{space 4}-.6573746{col 72}{space 3} .2441908
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.4791993{col 31}{space 2} .2074065{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.8857085{col 72}{space 3}-.0726901
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.8358952{col 31}{space 2} .2731323{col 42}{space 1}   -3.06{col 51}{space 3}0.002{col 59}{space 4}-1.371225{col 72}{space 3}-.3005657
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.6948819{col 31}{space 2} .2973664{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-1.277709{col 72}{space 3}-.1120545
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.5928706{col 31}{space 2} .2632314{col 42}{space 1}   -2.25{col 51}{space 3}0.024{col 59}{space 4}-1.108795{col 72}{space 3}-.0769465
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.1075557{col 31}{space 2} .2079801{col 42}{space 1}   -0.52{col 51}{space 3}0.605{col 59}{space 4}-.5151893{col 72}{space 3} .3000779
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}-.4988677{col 31}{space 2} .2285333{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-.9467848{col 72}{space 3}-.0509506
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}-.3099074{col 31}{space 2} .2508077{col 42}{space 1}   -1.24{col 51}{space 3}0.217{col 59}{space 4}-.8014816{col 72}{space 3} .1816667
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.6529653{col 31}{space 2} .3385024{col 42}{space 1}   -1.93{col 51}{space 3}0.054{col 59}{space 4}-1.316418{col 72}{space 3} .0104873
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.4633937{col 31}{space 2} .2829753{col 42}{space 1}   -1.64{col 51}{space 3}0.102{col 59}{space 4}-1.018015{col 72}{space 3} .0912277
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.4107211{col 31}{space 2} .2810465{col 42}{space 1}   -1.46{col 51}{space 3}0.144{col 59}{space 4} -.961562{col 72}{space 3} .1401198
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.6332603{col 31}{space 2} .2854194{col 42}{space 1}   -2.22{col 51}{space 3}0.027{col 59}{space 4}-1.192672{col 72}{space 3}-.0738485
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}-.1132469{col 31}{space 2} .2527244{col 42}{space 1}   -0.45{col 51}{space 3}0.654{col 59}{space 4}-.6085775{col 72}{space 3} .3820838
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.0562927{col 31}{space 2} .2431059{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4}-.5327715{col 72}{space 3} .4201861
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}-.4256979{col 31}{space 2}  .268327{col 42}{space 1}   -1.59{col 51}{space 3}0.113{col 59}{space 4}-.9516091{col 72}{space 3} .1002132
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.5729238{col 31}{space 2} .2418191{col 42}{space 1}   -2.37{col 51}{space 3}0.018{col 59}{space 4}-1.046881{col 72}{space 3}-.0989672
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}  -.65297{col 31}{space 2} .2637035{col 42}{space 1}   -2.48{col 51}{space 3}0.013{col 59}{space 4}-1.169819{col 72}{space 3}-.1361206
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.6160414{col 31}{space 2} .2466684{col 42}{space 1}   -2.50{col 51}{space 3}0.013{col 59}{space 4}-1.099503{col 72}{space 3}-.1325801
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.0678962{col 31}{space 2} .2307453{col 42}{space 1}   -0.29{col 51}{space 3}0.769{col 59}{space 4}-.5201487{col 72}{space 3} .3843563
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} -29.7833{col 31}{space 2} .4195832{col 42}{space 1}  -70.98{col 51}{space 3}0.000{col 59}{space 4}-30.60567{col 72}{space 3}-28.96093
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Figure 1: showing expected values and confidence intervals for expectation values, based on Model 1.2, showing that big boost is from "Below Expectations" 
. * Figure 1a
. zip sumqualchall i.expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1795.9016}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1782.3859}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1764.0762}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1763.1974}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1763.1942}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1763.1942}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}27{txt})     = {res}    395.79
{txt}Log pseudolikelihood = {res}-1763.194                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         sumqualchall{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall          {txt}{c |}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2}-.3254794{col 35}{space 2} .1143264{col 46}{space 1}   -2.85{col 55}{space 3}0.004{col 63}{space 4}-.5495551{col 76}{space 3}-.1014037
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2}-.3166052{col 35}{space 2} .1410763{col 46}{space 1}   -2.24{col 55}{space 3}0.025{col 63}{space 4}-.5931097{col 76}{space 3}-.0401007
{txt}{space 21} {c |}
{space 11}pripct_lag {c |}{col 23}{res}{space 2}-1.340117{col 35}{space 2} .2159664{col 46}{space 1}   -6.21{col 55}{space 3}0.000{col 63}{space 4}-1.763404{col 76}{space 3}-.9168307
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2} .0383521{col 35}{space 2} .0041863{col 46}{space 1}    9.16{col 55}{space 3}0.000{col 63}{space 4}  .030147{col 76}{space 3} .0465571
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2}-.7507869{col 35}{space 2} .1575419{col 46}{space 1}   -4.77{col 55}{space 3}0.000{col 63}{space 4}-1.059563{col 76}{space 3}-.4420104
{txt}{space 15}gender {c |}{col 23}{res}{space 2}-.1089043{col 35}{space 2} .1780108{col 46}{space 1}   -0.61{col 55}{space 3}0.541{col 63}{space 4}-.4577989{col 76}{space 3} .2399904
{txt}{space 16}power {c |}{col 23}{res}{space 2}-.2550514{col 35}{space 2} .1251335{col 46}{space 1}   -2.04{col 55}{space 3}0.042{col 63}{space 4}-.5003085{col 76}{space 3}-.0097943
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.4042571{col 35}{space 2} .2854279{col 46}{space 1}   -1.42{col 55}{space 3}0.157{col 63}{space 4}-.9636854{col 76}{space 3} .1551713
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2} .0097743{col 35}{space 2} .1455478{col 46}{space 1}    0.07{col 55}{space 3}0.946{col 63}{space 4}-.2754941{col 76}{space 3} .2950427
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .0957796{col 35}{space 2} .3091261{col 46}{space 1}    0.31{col 55}{space 3}0.757{col 63}{space 4}-.5100965{col 76}{space 3} .7016557
{txt}{space 16}1984  {c |}{col 23}{res}{space 2}-.1390182{col 35}{space 2} .3780647{col 46}{space 1}   -0.37{col 55}{space 3}0.713{col 63}{space 4}-.8800114{col 76}{space 3} .6019751
{txt}{space 16}1986  {c |}{col 23}{res}{space 2}-.3909394{col 35}{space 2} .3439083{col 46}{space 1}   -1.14{col 55}{space 3}0.256{col 63}{space 4}-1.064987{col 76}{space 3} .2831085
{txt}{space 16}1988  {c |}{col 23}{res}{space 2}-.4587124{col 35}{space 2}  .361546{col 46}{space 1}   -1.27{col 55}{space 3}0.205{col 63}{space 4} -1.16733{col 76}{space 3} .2499049
{txt}{space 16}1990  {c |}{col 23}{res}{space 2}-.0072916{col 35}{space 2} .3394517{col 46}{space 1}   -0.02{col 55}{space 3}0.983{col 63}{space 4}-.6726047{col 76}{space 3} .6580216
{txt}{space 16}1992  {c |}{col 23}{res}{space 2} .9106252{col 35}{space 2} .2863855{col 46}{space 1}    3.18{col 55}{space 3}0.001{col 63}{space 4} .3493199{col 76}{space 3} 1.471931
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .1177311{col 35}{space 2} .3210167{col 46}{space 1}    0.37{col 55}{space 3}0.714{col 63}{space 4}  -.51145{col 76}{space 3} .7469123
{txt}{space 16}1996  {c |}{col 23}{res}{space 2}  .111464{col 35}{space 2} .4045736{col 46}{space 1}    0.28{col 55}{space 3}0.783{col 63}{space 4}-.6814856{col 76}{space 3} .9044136
{txt}{space 16}1998  {c |}{col 23}{res}{space 2}-.6960602{col 35}{space 2} .3892821{col 46}{space 1}   -1.79{col 55}{space 3}0.074{col 63}{space 4}-1.459039{col 76}{space 3} .0669187
{txt}{space 16}2000  {c |}{col 23}{res}{space 2}-.5066433{col 35}{space 2} .3713495{col 46}{space 1}   -1.36{col 55}{space 3}0.172{col 63}{space 4}-1.234475{col 76}{space 3} .2211883
{txt}{space 16}2002  {c |}{col 23}{res}{space 2} .1196568{col 35}{space 2} .3480459{col 46}{space 1}    0.34{col 55}{space 3}0.731{col 63}{space 4}-.5625006{col 76}{space 3} .8018141
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .2441481{col 35}{space 2} .3312993{col 46}{space 1}    0.74{col 55}{space 3}0.461{col 63}{space 4}-.4051865{col 76}{space 3} .8934828
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .2505174{col 35}{space 2} .3410422{col 46}{space 1}    0.73{col 55}{space 3}0.463{col 63}{space 4}-.4179129{col 76}{space 3} .9189477
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .6397069{col 35}{space 2} .3263937{col 46}{space 1}    1.96{col 55}{space 3}0.050{col 63}{space 4}-.0000131{col 76}{space 3} 1.279427
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .6701103{col 35}{space 2} .3046748{col 46}{space 1}    2.20{col 55}{space 3}0.028{col 63}{space 4} .0729587{col 76}{space 3} 1.267262
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .7971073{col 35}{space 2} .3009636{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4} .2072295{col 76}{space 3} 1.386985
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.0990734{col 35}{space 2} .3372541{col 46}{space 1}   -0.29{col 55}{space 3}0.769{col 63}{space 4}-.7600793{col 76}{space 3} .5619324
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .7253896{col 35}{space 2}  .296113{col 46}{space 1}    2.45{col 55}{space 3}0.014{col 63}{space 4} .1450189{col 76}{space 3}  1.30576
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-.4400056{col 35}{space 2} .3472574{col 46}{space 1}   -1.27{col 55}{space 3}0.205{col 63}{space 4}-1.120618{col 76}{space 3} .2406064
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate               {txt}{c |}
{space 16}_cons {c |}{col 23}{res}{space 2} .6085018{col 35}{space 2} .1921938{col 46}{space 1}    3.17{col 55}{space 3}0.002{col 63}{space 4} .2318089{col 76}{space 3} .9851946
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, atmeans at(gender=0 power=0 allleader=0 termlimit=0 expectation=(1(1)3))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8792958 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}8.825043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6283928 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0533798 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 3}.0489539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0552575 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0529775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 3}.0549893 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 3}.0544528 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0468079 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0520386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 3}.0516363 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 3}.0539163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 3}.0540504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 3}.0512339 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 3}.0540504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.054721 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 3}.0539163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0533798 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0492221 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0525751 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 4}.052441 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8792958 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}8.825043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6283928 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0533798 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 3}.0489539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0552575 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0529775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 3}.0549893 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 3}.0544528 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0468079 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0520386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 3}.0516363 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 3}.0539163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 3}.0540504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 3}.0512339 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 3}.0540504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.054721 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 3}.0539163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0533798 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0492221 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0525751 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 4}.052441 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8792958 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}8.825043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6283928 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0533798 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 3}.0489539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0552575 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0529775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 3}.0549893 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 3}.0544528 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0468079 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0520386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 3}.0516363 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 3}.0539163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 3}.0540504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 3}.0512339 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 3}.0540504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.054721 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 3}.0539163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0533798 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0492221 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0525751 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 4}.052441 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0686283{col 26}{space 2} .0073232{col 37}{space 1}    9.37{col 46}{space 3}0.000{col 54}{space 4} .0542751{col 67}{space 3} .0829816
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0495621{col 26}{space 2} .0051047{col 37}{space 1}    9.71{col 46}{space 3}0.000{col 54}{space 4} .0395571{col 67}{space 3}  .059567
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0500039{col 26}{space 2} .0059312{col 37}{space 1}    8.43{col 46}{space 3}0.000{col 54}{space 4} .0383789{col 67}{space 3} .0616289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, scheme(s1manual) recast(scatter)  ///
>         yscale(range(0.02 0.085)) ylabel(0.02(.02)0.08, angle(0))  ytitle("Number of Quality Challengers", size(medium)) plotopts(msize(small))  ///
>         xscale(range(0.5 3.5)) xlabel(1 "Below Expectations" 2 "Meets Expectations" 3 "Exceeds Expectations") ///
>         xtitle("Legislative Effectiveness", size(large)) xscale(titlegap(5)) ///
>         title(" ", size(large)) plotregion(style(none))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: expectation{p_end}
{res}{txt}
{com}. * Figure 1b
. zip sumchall15pct expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1361.1829}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1284.4274}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1271.503}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1265.2054}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1264.9082}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1264.7882}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1264.716}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1196.529}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1187.0413}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1184.5395}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1184.5213}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1184.5213}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       433
                                                {txt}Zero obs          = {res}     1,898

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}26{txt})     = {res}    194.25
{txt}Log pseudolikelihood = {res}-1184.521                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    sumchall15pct{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumchall15pct     {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1893601{col 31}{space 2} .0637603{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4} -.314328{col 72}{space 3}-.0643922
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.9306267{col 31}{space 2} .2137984{col 42}{space 1}   -4.35{col 51}{space 3}0.000{col 59}{space 4}-1.349664{col 72}{space 3}-.5115896
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0237727{col 31}{space 2} .0034359{col 42}{space 1}    6.92{col 51}{space 3}0.000{col 59}{space 4} .0170385{col 72}{space 3}  .030507
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.2375595{col 31}{space 2}  .142238{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-.5163408{col 72}{space 3} .0412218
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.2784118{col 31}{space 2} .1551918{col 42}{space 1}   -1.79{col 51}{space 3}0.073{col 59}{space 4}-.5825821{col 72}{space 3} .0257585
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.4501873{col 31}{space 2} .1477602{col 42}{space 1}   -3.05{col 51}{space 3}0.002{col 59}{space 4} -.739792{col 72}{space 3}-.1605826
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-1.596977{col 31}{space 2} .5065783{col 42}{space 1}   -3.15{col 51}{space 3}0.002{col 59}{space 4}-2.589852{col 72}{space 3}-.6041021
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1422927{col 31}{space 2} .1329171{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}-.4028053{col 72}{space 3}   .11822
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2}-.2065919{col 31}{space 2} .2299954{col 42}{space 1}   -0.90{col 51}{space 3}0.369{col 59}{space 4}-.6573746{col 72}{space 3} .2441908
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.4791993{col 31}{space 2} .2074065{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.8857085{col 72}{space 3}-.0726901
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.8358952{col 31}{space 2} .2731323{col 42}{space 1}   -3.06{col 51}{space 3}0.002{col 59}{space 4}-1.371225{col 72}{space 3}-.3005657
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.6948819{col 31}{space 2} .2973664{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-1.277709{col 72}{space 3}-.1120545
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.5928706{col 31}{space 2} .2632314{col 42}{space 1}   -2.25{col 51}{space 3}0.024{col 59}{space 4}-1.108795{col 72}{space 3}-.0769465
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.1075557{col 31}{space 2} .2079801{col 42}{space 1}   -0.52{col 51}{space 3}0.605{col 59}{space 4}-.5151893{col 72}{space 3} .3000779
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}-.4988677{col 31}{space 2} .2285333{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-.9467848{col 72}{space 3}-.0509506
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}-.3099074{col 31}{space 2} .2508077{col 42}{space 1}   -1.24{col 51}{space 3}0.217{col 59}{space 4}-.8014816{col 72}{space 3} .1816667
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.6529653{col 31}{space 2} .3385024{col 42}{space 1}   -1.93{col 51}{space 3}0.054{col 59}{space 4}-1.316418{col 72}{space 3} .0104873
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.4633937{col 31}{space 2} .2829753{col 42}{space 1}   -1.64{col 51}{space 3}0.102{col 59}{space 4}-1.018015{col 72}{space 3} .0912277
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.4107211{col 31}{space 2} .2810465{col 42}{space 1}   -1.46{col 51}{space 3}0.144{col 59}{space 4} -.961562{col 72}{space 3} .1401198
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.6332603{col 31}{space 2} .2854194{col 42}{space 1}   -2.22{col 51}{space 3}0.027{col 59}{space 4}-1.192672{col 72}{space 3}-.0738485
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}-.1132469{col 31}{space 2} .2527244{col 42}{space 1}   -0.45{col 51}{space 3}0.654{col 59}{space 4}-.6085775{col 72}{space 3} .3820838
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.0562927{col 31}{space 2} .2431059{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4}-.5327715{col 72}{space 3} .4201861
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}-.4256979{col 31}{space 2}  .268327{col 42}{space 1}   -1.59{col 51}{space 3}0.113{col 59}{space 4}-.9516091{col 72}{space 3} .1002132
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.5729238{col 31}{space 2} .2418191{col 42}{space 1}   -2.37{col 51}{space 3}0.018{col 59}{space 4}-1.046881{col 72}{space 3}-.0989672
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}  -.65297{col 31}{space 2} .2637035{col 42}{space 1}   -2.48{col 51}{space 3}0.013{col 59}{space 4}-1.169819{col 72}{space 3}-.1361206
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.6160414{col 31}{space 2} .2466684{col 42}{space 1}   -2.50{col 51}{space 3}0.013{col 59}{space 4}-1.099503{col 72}{space 3}-.1325801
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.0678962{col 31}{space 2} .2307453{col 42}{space 1}   -0.29{col 51}{space 3}0.769{col 59}{space 4}-.5201487{col 72}{space 3} .3843563
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} -29.7833{col 31}{space 2} .4195832{col 42}{space 1}  -70.98{col 51}{space 3}0.000{col 59}{space 4}-30.60567{col 72}{space 3}-28.96093
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, atmeans at(gender=0 power=0 allleader=0 termlimit=0 expectation=(1(1)3))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2602931{col 26}{space 2} .0208538{col 37}{space 1}   12.48{col 46}{space 3}0.000{col 54}{space 4} .2194203{col 67}{space 3} .3011658
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2153895{col 26}{space 2} .0141875{col 37}{space 1}   15.18{col 46}{space 3}0.000{col 54}{space 4} .1875825{col 67}{space 3} .2431965
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1782323{col 26}{space 2}  .018167{col 37}{space 1}    9.81{col 46}{space 3}0.000{col 54}{space 4} .1426256{col 67}{space 3} .2138391
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, scheme(s1manual) recast(scatter)  ///
>         yscale(range(0.10 0.30)) ylabel(0.10(.05)0.30, angle(0))  ytitle("Number of Viable Challengers", size(medium)) plotopts(msize(small))  ///
>         xscale(range(0.5 3.5)) xlabel(1 "Below Expectations" 2 "Meets Expectations" 3 "Exceeds Expectations") xtitle("Legislative Effectiveness", size(large)) xscale(titlegap(5)) ///
>         title(" ", size(large)) plotregion(style(none))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: expectation{p_end}
{res}{txt}
{com}. 
. 
. * TABLE 2: WINNING PRIMARY
. * MODEL 2.1: 
. logit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-309.57386}  
Iteration 2:{space 3}log pseudolikelihood = {res:-287.77743}  
Iteration 3:{space 3}log pseudolikelihood = {res:-286.93684}  
Iteration 4:{space 3}log pseudolikelihood = {res:-286.93412}  
Iteration 5:{space 3}log pseudolikelihood = {res:-286.93412}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    332.19
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-286.93412{txt}{col 49}Pseudo R2{col 67}= {res}    0.2762

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3571141{col 31}{space 2} .1932861{col 42}{space 1}    1.85{col 51}{space 3}0.065{col 59}{space 4}-.0217197{col 72}{space 3} .7359479
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.186879{col 31}{space 2} .3060413{col 42}{space 1}  -10.41{col 51}{space 3}0.000{col 59}{space 4}-3.786709{col 72}{space 3}-2.587049
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}  1.37465{col 31}{space 2}  .581692{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .2345547{col 72}{space 3} 2.514745
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0147251{col 31}{space 2} .0102082{col 42}{space 1}   -1.44{col 51}{space 3}0.149{col 59}{space 4}-.0347328{col 72}{space 3} .0052826
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8594157{col 31}{space 2} .3490509{col 42}{space 1}    2.46{col 51}{space 3}0.014{col 59}{space 4} .1752885{col 72}{space 3} 1.543543
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1353258{col 31}{space 2} .4273391{col 42}{space 1}    0.32{col 51}{space 3}0.751{col 59}{space 4}-.7022434{col 72}{space 3}  .972895
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5234631{col 31}{space 2} .3384132{col 42}{space 1}    1.55{col 51}{space 3}0.122{col 59}{space 4}-.1398146{col 72}{space 3} 1.186741
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0914829{col 31}{space 2} .7407712{col 42}{space 1}   -0.12{col 51}{space 3}0.902{col 59}{space 4}-1.543368{col 72}{space 3} 1.360402
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.2075935{col 31}{space 2} .3125276{col 42}{space 1}   -0.66{col 51}{space 3}0.507{col 59}{space 4}-.8201363{col 72}{space 3} .4049492
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2178182{col 31}{space 2} .7703107{col 42}{space 1}    0.28{col 51}{space 3}0.777{col 59}{space 4}-1.291963{col 72}{space 3} 1.727599
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}  .289659{col 31}{space 2} .8287233{col 42}{space 1}    0.35{col 51}{space 3}0.727{col 59}{space 4}-1.334609{col 72}{space 3} 1.913927
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6394309{col 31}{space 2} .9039603{col 42}{space 1}    0.71{col 51}{space 3}0.479{col 59}{space 4}-1.132299{col 72}{space 3} 2.411161
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.237001{col 31}{space 2} 1.177593{col 42}{space 1}    1.05{col 51}{space 3}0.294{col 59}{space 4} -1.07104{col 72}{space 3} 3.545041
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.305756{col 31}{space 2} 1.131251{col 42}{space 1}    1.15{col 51}{space 3}0.248{col 59}{space 4}-.9114562{col 72}{space 3} 3.522967
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8789979{col 31}{space 2} .6450856{col 42}{space 1}   -1.36{col 51}{space 3}0.173{col 59}{space 4}-2.143343{col 72}{space 3} .3853467
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4663514{col 31}{space 2} .7745593{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4}-1.051757{col 72}{space 3}  1.98446
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}  .599543{col 31}{space 2} .8921789{col 42}{space 1}    0.67{col 51}{space 3}0.502{col 59}{space 4}-1.149096{col 72}{space 3} 2.348182
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 1.125406{col 31}{space 2} 1.112231{col 42}{space 1}    1.01{col 51}{space 3}0.312{col 59}{space 4}-1.054526{col 72}{space 3} 3.305338
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.0010325{col 31}{space 2} .8317097{col 42}{space 1}   -0.00{col 51}{space 3}0.999{col 59}{space 4}-1.631154{col 72}{space 3} 1.629089
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.2499442{col 31}{space 2} .7962103{col 42}{space 1}   -0.31{col 51}{space 3}0.754{col 59}{space 4}-1.810488{col 72}{space 3} 1.310599
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .6675732{col 31}{space 2} .9320403{col 42}{space 1}    0.72{col 51}{space 3}0.474{col 59}{space 4}-1.159192{col 72}{space 3} 2.494339
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .5906367{col 31}{space 2} .8948912{col 42}{space 1}    0.66{col 51}{space 3}0.509{col 59}{space 4}-1.163318{col 72}{space 3} 2.344591
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .0693954{col 31}{space 2} .8088438{col 42}{space 1}    0.09{col 51}{space 3}0.932{col 59}{space 4}-1.515909{col 72}{space 3}   1.6547
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1271783{col 31}{space 2} .7790179{col 42}{space 1}    0.16{col 51}{space 3}0.870{col 59}{space 4}-1.399669{col 72}{space 3} 1.654025
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0306061{col 31}{space 2} .7851073{col 42}{space 1}    0.04{col 51}{space 3}0.969{col 59}{space 4}-1.508176{col 72}{space 3} 1.569388
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3474281{col 31}{space 2} .7615785{col 42}{space 1}   -0.46{col 51}{space 3}0.648{col 59}{space 4}-1.840095{col 72}{space 3} 1.145238
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3368944{col 31}{space 2} .8194061{col 42}{space 1}    0.41{col 51}{space 3}0.681{col 59}{space 4}-1.269112{col 72}{space 3} 1.942901
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.244072{col 31}{space 2} .7576415{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 1.759123{col 72}{space 3} 4.729022
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 2.2: 
. logit priwin i.expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-309.49742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-287.41283}  
Iteration 3:{space 3}log pseudolikelihood = {res:-286.57057}  
Iteration 4:{space 3}log pseudolikelihood = {res:-286.56761}  
Iteration 5:{space 3}log pseudolikelihood = {res:-286.56761}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    335.55
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-286.56761{txt}{col 49}Pseudo R2{col 67}= {res}    0.2772

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               priwin{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2} .5502803{col 35}{space 2} .2925605{col 46}{space 1}    1.88{col 55}{space 3}0.060{col 63}{space 4}-.0231278{col 76}{space 3} 1.123688
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2} .6047115{col 35}{space 2} .3814903{col 46}{space 1}    1.59{col 55}{space 3}0.113{col 63}{space 4}-.1429959{col 76}{space 3} 1.352419
{txt}{space 21} {c |}
{space 9}maxqualchall {c |}{col 23}{res}{space 2}-3.188852{col 35}{space 2} .3051024{col 46}{space 1}  -10.45{col 55}{space 3}0.000{col 63}{space 4}-3.786841{col 76}{space 3}-2.590862
{txt}{space 11}pripct_lag {c |}{col 23}{res}{space 2} 1.385522{col 35}{space 2} .5776372{col 46}{space 1}    2.40{col 55}{space 3}0.016{col 63}{space 4} .2533743{col 76}{space 3} 2.517671
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2}-.0146641{col 35}{space 2} .0101542{col 46}{space 1}   -1.44{col 55}{space 3}0.149{col 63}{space 4} -.034566{col 76}{space 3} .0052378
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2} .8730557{col 35}{space 2} .3479093{col 46}{space 1}    2.51{col 55}{space 3}0.012{col 63}{space 4}  .191166{col 76}{space 3} 1.554945
{txt}{space 15}gender {c |}{col 23}{res}{space 2} .1108808{col 35}{space 2} .4332492{col 46}{space 1}    0.26{col 55}{space 3}0.798{col 63}{space 4} -.738272{col 76}{space 3} .9600336
{txt}{space 16}power {c |}{col 23}{res}{space 2} .5224978{col 35}{space 2} .3392857{col 46}{space 1}    1.54{col 55}{space 3}0.124{col 63}{space 4}-.1424899{col 76}{space 3} 1.187486
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.0692524{col 35}{space 2} .7417645{col 46}{space 1}   -0.09{col 55}{space 3}0.926{col 63}{space 4}-1.523084{col 76}{space 3} 1.384579
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2} -.206195{col 35}{space 2} .3134683{col 46}{space 1}   -0.66{col 55}{space 3}0.511{col 63}{space 4}-.8205815{col 76}{space 3} .4081916
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .1942492{col 35}{space 2} .7719045{col 46}{space 1}    0.25{col 55}{space 3}0.801{col 63}{space 4}-1.318656{col 76}{space 3} 1.707154
{txt}{space 16}1984  {c |}{col 23}{res}{space 2} .2821596{col 35}{space 2} .8317581{col 46}{space 1}    0.34{col 55}{space 3}0.734{col 63}{space 4}-1.348056{col 76}{space 3} 1.912375
{txt}{space 16}1986  {c |}{col 23}{res}{space 2} .6232073{col 35}{space 2} .8997614{col 46}{space 1}    0.69{col 55}{space 3}0.489{col 63}{space 4}-1.140293{col 76}{space 3} 2.386707
{txt}{space 16}1988  {c |}{col 23}{res}{space 2} 1.242142{col 35}{space 2} 1.177335{col 46}{space 1}    1.06{col 55}{space 3}0.291{col 63}{space 4}-1.065392{col 76}{space 3} 3.549675
{txt}{space 16}1990  {c |}{col 23}{res}{space 2} 1.313508{col 35}{space 2} 1.130154{col 46}{space 1}    1.16{col 55}{space 3}0.245{col 63}{space 4}-.9015529{col 76}{space 3} 3.528569
{txt}{space 16}1992  {c |}{col 23}{res}{space 2}-.9036736{col 35}{space 2} .6413346{col 46}{space 1}   -1.41{col 55}{space 3}0.159{col 63}{space 4}-2.160666{col 76}{space 3} .3533191
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .4579455{col 35}{space 2}  .772645{col 46}{space 1}    0.59{col 55}{space 3}0.553{col 63}{space 4}-1.056411{col 76}{space 3} 1.972302
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .5976857{col 35}{space 2} .8907924{col 46}{space 1}    0.67{col 55}{space 3}0.502{col 63}{space 4}-1.148235{col 76}{space 3} 2.343607
{txt}{space 16}1998  {c |}{col 23}{res}{space 2} 1.136544{col 35}{space 2} 1.109336{col 46}{space 1}    1.02{col 55}{space 3}0.306{col 63}{space 4}-1.037715{col 76}{space 3} 3.310804
{txt}{space 16}2000  {c |}{col 23}{res}{space 2} .0029229{col 35}{space 2} .8304092{col 46}{space 1}    0.00{col 55}{space 3}0.997{col 63}{space 4}-1.624649{col 76}{space 3} 1.630495
{txt}{space 16}2002  {c |}{col 23}{res}{space 2}-.2717159{col 35}{space 2} .7964666{col 46}{space 1}   -0.34{col 55}{space 3}0.733{col 63}{space 4}-1.832762{col 76}{space 3}  1.28933
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .6492798{col 35}{space 2} .9324311{col 46}{space 1}    0.70{col 55}{space 3}0.486{col 63}{space 4}-1.178252{col 76}{space 3} 2.476811
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .5887712{col 35}{space 2} .8887658{col 46}{space 1}    0.66{col 55}{space 3}0.508{col 63}{space 4}-1.153178{col 76}{space 3}  2.33072
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .0288688{col 35}{space 2} .8102282{col 46}{space 1}    0.04{col 55}{space 3}0.972{col 63}{space 4}-1.559149{col 76}{space 3} 1.616887
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .1248039{col 35}{space 2} .7792972{col 46}{space 1}    0.16{col 55}{space 3}0.873{col 63}{space 4}-1.402591{col 76}{space 3} 1.652198
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .0204286{col 35}{space 2} .7827238{col 46}{space 1}    0.03{col 55}{space 3}0.979{col 63}{space 4}-1.513682{col 76}{space 3} 1.554539
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.3614047{col 35}{space 2} .7573684{col 46}{space 1}   -0.48{col 55}{space 3}0.633{col 63}{space 4}-1.845819{col 76}{space 3}  1.12301
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .3180323{col 35}{space 2} .8164386{col 46}{space 1}    0.39{col 55}{space 3}0.697{col 63}{space 4}-1.282158{col 76}{space 3} 1.918223
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} 3.553875{col 35}{space 2} .7055004{col 46}{space 1}    5.04{col 55}{space 3}0.000{col 63}{space 4} 2.171119{col 76}{space 3}  4.93663
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 2.3: 
. logit priwin les maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-308.82207}  
Iteration 2:{space 3}log pseudolikelihood = {res:-285.91484}  
Iteration 3:{space 3}log pseudolikelihood = {res:-284.77556}  
Iteration 4:{space 3}log pseudolikelihood = {res:-284.76303}  
Iteration 5:{space 3}log pseudolikelihood = {res:-284.76302}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    329.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-284.76302{txt}{col 49}Pseudo R2{col 67}= {res}    0.2817

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}les {c |}{col 19}{res}{space 2} .3624934{col 31}{space 2} .1485114{col 42}{space 1}    2.44{col 51}{space 3}0.015{col 59}{space 4} .0714163{col 72}{space 3} .6535705
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.212212{col 31}{space 2} .3109495{col 42}{space 1}  -10.33{col 51}{space 3}0.000{col 59}{space 4}-3.821661{col 72}{space 3}-2.602762
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}   1.1817{col 31}{space 2} .5860852{col 42}{space 1}    2.02{col 51}{space 3}0.044{col 59}{space 4} .0329939{col 72}{space 3} 2.330406
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0155535{col 31}{space 2}  .010372{col 42}{space 1}   -1.50{col 51}{space 3}0.134{col 59}{space 4}-.0358822{col 72}{space 3} .0047753
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .9168362{col 31}{space 2} .3373146{col 42}{space 1}    2.72{col 51}{space 3}0.007{col 59}{space 4} .2557117{col 72}{space 3} 1.577961
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1885377{col 31}{space 2} .4248894{col 42}{space 1}    0.44{col 51}{space 3}0.657{col 59}{space 4}-.6442303{col 72}{space 3} 1.021306
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5065463{col 31}{space 2} .3394375{col 42}{space 1}    1.49{col 51}{space 3}0.136{col 59}{space 4}-.1587389{col 72}{space 3} 1.171832
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0594027{col 31}{space 2} .7485419{col 42}{space 1}   -0.08{col 51}{space 3}0.937{col 59}{space 4}-1.526518{col 72}{space 3} 1.407712
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.2284824{col 31}{space 2} .3143473{col 42}{space 1}   -0.73{col 51}{space 3}0.467{col 59}{space 4}-.8445918{col 72}{space 3} .3876271
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1120744{col 31}{space 2} .7655396{col 42}{space 1}    0.15{col 51}{space 3}0.884{col 59}{space 4}-1.388356{col 72}{space 3} 1.612505
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3248251{col 31}{space 2} .8285414{col 42}{space 1}    0.39{col 51}{space 3}0.695{col 59}{space 4}-1.299086{col 72}{space 3} 1.948736
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6475913{col 31}{space 2} .9082661{col 42}{space 1}    0.71{col 51}{space 3}0.476{col 59}{space 4}-1.132578{col 72}{space 3}  2.42776
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.243007{col 31}{space 2} 1.179079{col 42}{space 1}    1.05{col 51}{space 3}0.292{col 59}{space 4}-1.067946{col 72}{space 3} 3.553959
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.356523{col 31}{space 2} 1.132149{col 42}{space 1}    1.20{col 51}{space 3}0.231{col 59}{space 4}-.8624484{col 72}{space 3} 3.575495
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8144769{col 31}{space 2}  .656401{col 42}{space 1}   -1.24{col 51}{space 3}0.215{col 59}{space 4}-2.100999{col 72}{space 3} .4720454
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .5276506{col 31}{space 2} .7773779{col 42}{space 1}    0.68{col 51}{space 3}0.497{col 59}{space 4}-.9959822{col 72}{space 3} 2.051283
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .7128888{col 31}{space 2} .8808724{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-1.013589{col 72}{space 3} 2.439367
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 1.204965{col 31}{space 2} 1.113185{col 42}{space 1}    1.08{col 51}{space 3}0.279{col 59}{space 4}-.9768371{col 72}{space 3} 3.386767
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .1123401{col 31}{space 2} .8386321{col 42}{space 1}    0.13{col 51}{space 3}0.893{col 59}{space 4}-1.531349{col 72}{space 3} 1.756029
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.1263828{col 31}{space 2} .7911231{col 42}{space 1}   -0.16{col 51}{space 3}0.873{col 59}{space 4}-1.676955{col 72}{space 3}  1.42419
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .7935293{col 31}{space 2} .9263574{col 42}{space 1}    0.86{col 51}{space 3}0.392{col 59}{space 4}-1.022098{col 72}{space 3} 2.609156
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}  .665896{col 31}{space 2} .8903791{col 42}{space 1}    0.75{col 51}{space 3}0.455{col 59}{space 4}-1.079215{col 72}{space 3} 2.411007
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .1692433{col 31}{space 2} .8116449{col 42}{space 1}    0.21{col 51}{space 3}0.835{col 59}{space 4}-1.421552{col 72}{space 3} 1.760038
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1596015{col 31}{space 2} .7785505{col 42}{space 1}    0.20{col 51}{space 3}0.838{col 59}{space 4} -1.36633{col 72}{space 3} 1.685533
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0674999{col 31}{space 2} .7869285{col 42}{space 1}    0.09{col 51}{space 3}0.932{col 59}{space 4}-1.474852{col 72}{space 3} 1.609851
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3290391{col 31}{space 2} .7714037{col 42}{space 1}   -0.43{col 51}{space 3}0.670{col 59}{space 4}-1.840963{col 72}{space 3} 1.182884
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3990365{col 31}{space 2} .8222403{col 42}{space 1}    0.49{col 51}{space 3}0.627{col 59}{space 4}-1.212525{col 72}{space 3} 2.010598
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.680607{col 31}{space 2} .7011266{col 42}{space 1}    5.25{col 51}{space 3}0.000{col 59}{space 4} 2.306425{col 72}{space 3}  5.05479
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 2.4: 
. logit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-314.32728}  
Iteration 1:{space 3}log pseudolikelihood = {res:-268.69715}  
Iteration 2:{space 3}log pseudolikelihood = {res:-259.12608}  
Iteration 3:{space 3}log pseudolikelihood = {res:-259.05345}  
Iteration 4:{space 3}log pseudolikelihood = {res:-259.05323}  
Iteration 5:{space 3}log pseudolikelihood = {res:-259.05323}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    149.89
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-259.05323{txt}{col 49}Pseudo R2{col 67}= {res}    0.1758

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}  .339558{col 31}{space 2} .1903209{col 42}{space 1}    1.78{col 51}{space 3}0.074{col 59}{space 4}-.0334642{col 72}{space 3} .7125802
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-2.054611{col 31}{space 2} .2829449{col 42}{space 1}   -7.26{col 51}{space 3}0.000{col 59}{space 4}-2.609172{col 72}{space 3}-1.500049
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.085369{col 31}{space 2} .5943212{col 42}{space 1}    1.83{col 51}{space 3}0.068{col 59}{space 4}-.0794796{col 72}{space 3} 2.250217
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0086378{col 31}{space 2} .0101789{col 42}{space 1}   -0.85{col 51}{space 3}0.396{col 59}{space 4}-.0285881{col 72}{space 3} .0113124
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .7745808{col 31}{space 2}   .35438{col 42}{space 1}    2.19{col 51}{space 3}0.029{col 59}{space 4} .0800088{col 72}{space 3} 1.469153
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1669287{col 31}{space 2} .4192459{col 42}{space 1}    0.40{col 51}{space 3}0.691{col 59}{space 4}-.6547781{col 72}{space 3} .9886356
{txt}{space 12}power {c |}{col 19}{res}{space 2}  .507281{col 31}{space 2} .3347419{col 42}{space 1}    1.52{col 51}{space 3}0.130{col 59}{space 4}-.1488011{col 72}{space 3} 1.163363
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} .0418377{col 31}{space 2} .7350454{col 42}{space 1}    0.06{col 51}{space 3}0.955{col 59}{space 4}-1.398825{col 72}{space 3}   1.4825
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1009287{col 31}{space 2} .3149843{col 42}{space 1}   -0.32{col 51}{space 3}0.749{col 59}{space 4}-.7182865{col 72}{space 3} .5164291
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2244391{col 31}{space 2} .7556383{col 42}{space 1}    0.30{col 51}{space 3}0.766{col 59}{space 4}-1.256585{col 72}{space 3} 1.705463
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3872908{col 31}{space 2}  .820627{col 42}{space 1}    0.47{col 51}{space 3}0.637{col 59}{space 4}-1.221109{col 72}{space 3}  1.99569
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6650725{col 31}{space 2} .9025112{col 42}{space 1}    0.74{col 51}{space 3}0.461{col 59}{space 4}-1.103817{col 72}{space 3} 2.433962
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.129433{col 31}{space 2} 1.181172{col 42}{space 1}    0.96{col 51}{space 3}0.339{col 59}{space 4}-1.185621{col 72}{space 3} 3.444488
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.276972{col 31}{space 2} 1.132137{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4}-.9419764{col 72}{space 3}  3.49592
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} -.828894{col 31}{space 2} .6382575{col 42}{space 1}   -1.30{col 51}{space 3}0.194{col 59}{space 4}-2.079856{col 72}{space 3} .4220678
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4332174{col 31}{space 2} .7668341{col 42}{space 1}    0.56{col 51}{space 3}0.572{col 59}{space 4} -1.06975{col 72}{space 3} 1.936185
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}    .5798{col 31}{space 2} .8938306{col 42}{space 1}    0.65{col 51}{space 3}0.517{col 59}{space 4}-1.172076{col 72}{space 3} 2.331676
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .9039363{col 31}{space 2} 1.114142{col 42}{space 1}    0.81{col 51}{space 3}0.417{col 59}{space 4}-1.279742{col 72}{space 3} 3.087614
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.2330133{col 31}{space 2} .8417389{col 42}{space 1}   -0.28{col 51}{space 3}0.782{col 59}{space 4}-1.882791{col 72}{space 3} 1.416765
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.3768409{col 31}{space 2} .8057243{col 42}{space 1}   -0.47{col 51}{space 3}0.640{col 59}{space 4}-1.956032{col 72}{space 3}  1.20235
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .5613151{col 31}{space 2} .9310501{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4} -1.26351{col 72}{space 3}  2.38614
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .4946043{col 31}{space 2} .9011493{col 42}{space 1}    0.55{col 51}{space 3}0.583{col 59}{space 4}-1.271616{col 72}{space 3} 2.260825
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.0187281{col 31}{space 2} .8065625{col 42}{space 1}   -0.02{col 51}{space 3}0.981{col 59}{space 4}-1.599562{col 72}{space 3} 1.562105
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .2049578{col 31}{space 2} .7762046{col 42}{space 1}    0.26{col 51}{space 3}0.792{col 59}{space 4}-1.316375{col 72}{space 3} 1.726291
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .1920225{col 31}{space 2} .7729292{col 42}{space 1}    0.25{col 51}{space 3}0.804{col 59}{space 4}-1.322891{col 72}{space 3} 1.706936
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.1485589{col 31}{space 2} .7531459{col 42}{space 1}   -0.20{col 51}{space 3}0.844{col 59}{space 4}-1.624698{col 72}{space 3}  1.32758
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}  .489319{col 31}{space 2} .8093934{col 42}{space 1}    0.60{col 51}{space 3}0.545{col 59}{space 4}-1.097063{col 72}{space 3} 2.075701
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.256393{col 31}{space 2} .7576968{col 42}{space 1}    2.98{col 51}{space 3}0.003{col 59}{space 4} .7713344{col 72}{space 3} 3.741451
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE 3: INTERACTIONS ON NUMBER OF CHALLENGERS
. * MODEL 3.1: 
. logit priwin c.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res: -339.0083}  
Iteration 2:{space 3}log pseudolikelihood = {res: -317.1784}  
Iteration 3:{space 3}log pseudolikelihood = {res:-314.14023}  
Iteration 4:{space 3}log pseudolikelihood = {res:-314.10774}  
Iteration 5:{space 3}log pseudolikelihood = {res:-314.10768}  
Iteration 6:{space 3}log pseudolikelihood = {res:-314.10768}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    186.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-314.10768{txt}{col 49}Pseudo R2{col 67}= {res}    0.2077

{txt}{ralign 90:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  priwin{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}{col 26}{res}{space 2} .6546416{col 38}{space 2} .2743923{col 49}{space 1}    2.39{col 58}{space 3}0.017{col 66}{space 4} .1168426{col 79}{space 3} 1.192441
{txt}{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2}-.1352938{col 38}{space 2}  .358484{col 49}{space 1}   -0.38{col 58}{space 3}0.706{col 66}{space 4}-.8379096{col 79}{space 3} .5673219
{txt}{space 24} {c |}
{space 11}c.expectation#{c |}
c.nchallengers_sameparty {c |}{col 26}{res}{space 2}-.3087615{col 38}{space 2} .1636687{col 49}{space 1}   -1.89{col 58}{space 3}0.059{col 66}{space 4}-.6295463{col 79}{space 3} .0120234
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2} 1.577755{col 38}{space 2} .6513928{col 49}{space 1}    2.42{col 58}{space 3}0.015{col 66}{space 4} .3010484{col 79}{space 3} 2.854461
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2}-.0180811{col 38}{space 2} .0101972{col 49}{space 1}   -1.77{col 58}{space 3}0.076{col 66}{space 4}-.0380672{col 79}{space 3}  .001905
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2} 1.066426{col 38}{space 2} .3452151{col 49}{space 1}    3.09{col 58}{space 3}0.002{col 66}{space 4} .3898166{col 79}{space 3} 1.743035
{txt}{space 18}gender {c |}{col 26}{res}{space 2}-.0378902{col 38}{space 2} .4376112{col 49}{space 1}   -0.09{col 58}{space 3}0.931{col 66}{space 4}-.8955924{col 79}{space 3}  .819812
{txt}{space 19}power {c |}{col 26}{res}{space 2} .5374417{col 38}{space 2} .3626258{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4}-.1732918{col 79}{space 3} 1.248175
{txt}{space 15}allleader {c |}{col 26}{res}{space 2}-.0519017{col 38}{space 2} .7206526{col 49}{space 1}   -0.07{col 58}{space 3}0.943{col 66}{space 4}-1.464355{col 79}{space 3} 1.360551
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2} .0555016{col 38}{space 2} .3280941{col 49}{space 1}    0.17{col 58}{space 3}0.866{col 66}{space 4}-.5875509{col 79}{space 3} .6985542
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2}-.3983041{col 38}{space 2} .8287572{col 49}{space 1}   -0.48{col 58}{space 3}0.631{col 66}{space 4}-2.022638{col 79}{space 3}  1.22603
{txt}{space 19}1984  {c |}{col 26}{res}{space 2} .0552154{col 38}{space 2} .8867868{col 49}{space 1}    0.06{col 58}{space 3}0.950{col 66}{space 4}-1.682855{col 79}{space 3} 1.793286
{txt}{space 19}1986  {c |}{col 26}{res}{space 2} .2990442{col 38}{space 2} .9905125{col 49}{space 1}    0.30{col 58}{space 3}0.763{col 66}{space 4}-1.642325{col 79}{space 3} 2.240413
{txt}{space 19}1988  {c |}{col 26}{res}{space 2} .7572759{col 38}{space 2} 1.212882{col 49}{space 1}    0.62{col 58}{space 3}0.532{col 66}{space 4}-1.619929{col 79}{space 3} 3.134481
{txt}{space 19}1990  {c |}{col 26}{res}{space 2} .7209053{col 38}{space 2} 1.209324{col 49}{space 1}    0.60{col 58}{space 3}0.551{col 66}{space 4}-1.649326{col 79}{space 3} 3.091137
{txt}{space 19}1992  {c |}{col 26}{res}{space 2}-1.578293{col 38}{space 2} .7393036{col 49}{space 1}   -2.13{col 58}{space 3}0.033{col 66}{space 4}-3.027301{col 79}{space 3}-.1292841
{txt}{space 19}1994  {c |}{col 26}{res}{space 2}-.2185901{col 38}{space 2} .8733506{col 49}{space 1}   -0.25{col 58}{space 3}0.802{col 66}{space 4}-1.930326{col 79}{space 3} 1.493146
{txt}{space 19}1996  {c |}{col 26}{res}{space 2} .9159612{col 38}{space 2} 1.917627{col 49}{space 1}    0.48{col 58}{space 3}0.633{col 66}{space 4}-2.842519{col 79}{space 3} 4.674441
{txt}{space 19}1998  {c |}{col 26}{res}{space 2} .5864291{col 38}{space 2} 1.228268{col 49}{space 1}    0.48{col 58}{space 3}0.633{col 66}{space 4}-1.820932{col 79}{space 3} 2.993791
{txt}{space 19}2000  {c |}{col 26}{res}{space 2}-.6027566{col 38}{space 2} .9340397{col 49}{space 1}   -0.65{col 58}{space 3}0.519{col 66}{space 4}-2.433441{col 79}{space 3} 1.227928
{txt}{space 19}2002  {c |}{col 26}{res}{space 2}-.8813831{col 38}{space 2} .8764151{col 49}{space 1}   -1.01{col 58}{space 3}0.315{col 66}{space 4}-2.599125{col 79}{space 3}  .836359
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.1502401{col 38}{space 2} 1.031498{col 49}{space 1}   -0.15{col 58}{space 3}0.884{col 66}{space 4}-2.171939{col 79}{space 3} 1.871459
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .3170962{col 38}{space 2} 1.271671{col 49}{space 1}    0.25{col 58}{space 3}0.803{col 66}{space 4}-2.175333{col 79}{space 3} 2.809525
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.4672373{col 38}{space 2} .9219279{col 49}{space 1}   -0.51{col 58}{space 3}0.612{col 66}{space 4}-2.274183{col 79}{space 3} 1.339708
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.3204733{col 38}{space 2} .9138162{col 49}{space 1}   -0.35{col 58}{space 3}0.726{col 66}{space 4} -2.11152{col 79}{space 3} 1.470574
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.6150868{col 38}{space 2} .8490114{col 49}{space 1}   -0.72{col 58}{space 3}0.469{col 66}{space 4}-2.279118{col 79}{space 3} 1.048945
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} -.729991{col 38}{space 2} .8410423{col 49}{space 1}   -0.87{col 58}{space 3}0.385{col 66}{space 4}-2.378404{col 79}{space 3} .9184216
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.1033728{col 38}{space 2} 1.006954{col 49}{space 1}   -0.10{col 58}{space 3}0.918{col 66}{space 4}-2.076967{col 79}{space 3} 1.870222
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 2.670234{col 38}{space 2} 1.022466{col 49}{space 1}    2.61{col 58}{space 3}0.009{col 66}{space 4}  .666237{col 79}{space 3} 4.674231
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 3.2: 
. logit priwin i.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-339.54167}  
Iteration 2:{space 3}log pseudolikelihood = {res:-316.94865}  
Iteration 3:{space 3}log pseudolikelihood = {res:-313.70178}  
Iteration 4:{space 3}log pseudolikelihood = {res:-313.65334}  
Iteration 5:{space 3}log pseudolikelihood = {res:-313.65332}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    195.09
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-313.65332{txt}{col 49}Pseudo R2{col 67}= {res}    0.2088

{txt}{ralign 90:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  priwin{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}
{space 5}Meets Expectations  {c |}{col 26}{res}{space 2}  .662937{col 38}{space 2} .4025056{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.1259594{col 79}{space 3} 1.451834
{txt}{space 3}Exceeds Expectations  {c |}{col 26}{res}{space 2} 1.388161{col 38}{space 2} .5292613{col 49}{space 1}    2.62{col 58}{space 3}0.009{col 66}{space 4} .3508276{col 79}{space 3} 2.425494
{txt}{space 24} {c |}
{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2}-.4596804{col 38}{space 2}  .223839{col 49}{space 1}   -2.05{col 58}{space 3}0.040{col 66}{space 4}-.8983969{col 79}{space 3}-.0209639
{txt}{space 24} {c |}
{space 13}expectation#{c |}
c.nchallengers_sameparty {c |}
{space 5}Meets Expectations  {c |}{col 26}{res}{space 2}-.2258296{col 38}{space 2} .2485008{col 49}{space 1}   -0.91{col 58}{space 3}0.363{col 66}{space 4}-.7128822{col 79}{space 3} .2612229
{txt}{space 3}Exceeds Expectations  {c |}{col 26}{res}{space 2}-.7030915{col 38}{space 2}  .283312{col 49}{space 1}   -2.48{col 58}{space 3}0.013{col 66}{space 4}-1.258373{col 79}{space 3}-.1478102
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2} 1.623904{col 38}{space 2} .6363717{col 49}{space 1}    2.55{col 58}{space 3}0.011{col 66}{space 4} .3766385{col 79}{space 3}  2.87117
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2}-.0178191{col 38}{space 2} .0102347{col 49}{space 1}   -1.74{col 58}{space 3}0.082{col 66}{space 4}-.0378787{col 79}{space 3} .0022405
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2} 1.081658{col 38}{space 2}  .341195{col 49}{space 1}    3.17{col 58}{space 3}0.002{col 66}{space 4} .4129277{col 79}{space 3} 1.750387
{txt}{space 18}gender {c |}{col 26}{res}{space 2}-.0764808{col 38}{space 2} .4408694{col 49}{space 1}   -0.17{col 58}{space 3}0.862{col 66}{space 4}-.9405688{col 79}{space 3} .7876073
{txt}{space 19}power {c |}{col 26}{res}{space 2} .5358761{col 38}{space 2} .3612677{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4}-.1721956{col 79}{space 3} 1.243948
{txt}{space 15}allleader {c |}{col 26}{res}{space 2}-.0547375{col 38}{space 2} .7193939{col 49}{space 1}   -0.08{col 58}{space 3}0.939{col 66}{space 4}-1.464724{col 79}{space 3} 1.355249
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2} .0550142{col 38}{space 2} .3243535{col 49}{space 1}    0.17{col 58}{space 3}0.865{col 66}{space 4} -.580707{col 79}{space 3} .6907355
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2}-.4051398{col 38}{space 2} .8284344{col 49}{space 1}   -0.49{col 58}{space 3}0.625{col 66}{space 4}-2.028841{col 79}{space 3} 1.218562
{txt}{space 19}1984  {c |}{col 26}{res}{space 2} .0773588{col 38}{space 2} .8853267{col 49}{space 1}    0.09{col 58}{space 3}0.930{col 66}{space 4} -1.65785{col 79}{space 3} 1.812567
{txt}{space 19}1986  {c |}{col 26}{res}{space 2} .2968377{col 38}{space 2}  .995596{col 49}{space 1}    0.30{col 58}{space 3}0.766{col 66}{space 4}-1.654495{col 79}{space 3}  2.24817
{txt}{space 19}1988  {c |}{col 26}{res}{space 2} .7564088{col 38}{space 2} 1.213914{col 49}{space 1}    0.62{col 58}{space 3}0.533{col 66}{space 4}-1.622818{col 79}{space 3} 3.135636
{txt}{space 19}1990  {c |}{col 26}{res}{space 2} .7144195{col 38}{space 2} 1.209487{col 49}{space 1}    0.59{col 58}{space 3}0.555{col 66}{space 4}-1.656131{col 79}{space 3}  3.08497
{txt}{space 19}1992  {c |}{col 26}{res}{space 2}-1.576539{col 38}{space 2}  .739592{col 49}{space 1}   -2.13{col 58}{space 3}0.033{col 66}{space 4}-3.026112{col 79}{space 3} -.126965
{txt}{space 19}1994  {c |}{col 26}{res}{space 2}-.2125935{col 38}{space 2}  .875505{col 49}{space 1}   -0.24{col 58}{space 3}0.808{col 66}{space 4}-1.928552{col 79}{space 3} 1.503365
{txt}{space 19}1996  {c |}{col 26}{res}{space 2} .9220216{col 38}{space 2} 1.921484{col 49}{space 1}    0.48{col 58}{space 3}0.631{col 66}{space 4}-2.844018{col 79}{space 3} 4.688061
{txt}{space 19}1998  {c |}{col 26}{res}{space 2} .5918622{col 38}{space 2}  1.22898{col 49}{space 1}    0.48{col 58}{space 3}0.630{col 66}{space 4}-1.816894{col 79}{space 3} 3.000618
{txt}{space 19}2000  {c |}{col 26}{res}{space 2}-.5941223{col 38}{space 2}   .93466{col 49}{space 1}   -0.64{col 58}{space 3}0.525{col 66}{space 4}-2.426022{col 79}{space 3} 1.237778
{txt}{space 19}2002  {c |}{col 26}{res}{space 2}-.8998482{col 38}{space 2} .8805642{col 49}{space 1}   -1.02{col 58}{space 3}0.307{col 66}{space 4}-2.625722{col 79}{space 3} .8260259
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.1723368{col 38}{space 2}  1.03327{col 49}{space 1}   -0.17{col 58}{space 3}0.868{col 66}{space 4}-2.197509{col 79}{space 3} 1.852835
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .2373189{col 38}{space 2} 1.181917{col 49}{space 1}    0.20{col 58}{space 3}0.841{col 66}{space 4}-2.079196{col 79}{space 3} 2.553834
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.5160272{col 38}{space 2} .9053202{col 49}{space 1}   -0.57{col 58}{space 3}0.569{col 66}{space 4}-2.290422{col 79}{space 3} 1.258368
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.2547927{col 38}{space 2} .9401978{col 49}{space 1}   -0.27{col 58}{space 3}0.786{col 66}{space 4}-2.097547{col 79}{space 3} 1.587961
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.5908453{col 38}{space 2} .8555343{col 49}{space 1}   -0.69{col 58}{space 3}0.490{col 66}{space 4}-2.267662{col 79}{space 3} 1.085971
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.7502002{col 38}{space 2} .8414957{col 49}{space 1}   -0.89{col 58}{space 3}0.373{col 66}{space 4}-2.399501{col 79}{space 3} .8991011
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.110979{col 38}{space 2}  1.01278{col 49}{space 1}   -0.11{col 58}{space 3}0.913{col 66}{space 4}-2.095992{col 79}{space 3} 1.874034
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 3.273871{col 38}{space 2} .8915265{col 49}{space 1}    3.67{col 58}{space 3}0.000{col 66}{space 4} 1.526511{col 79}{space 3} 5.021231
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 3.3: 
. logit priwin c.les##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res: -337.1879}  
Iteration 2:{space 3}log pseudolikelihood = {res:-319.41692}  
Iteration 3:{space 3}log pseudolikelihood = {res: -314.1029}  
Iteration 4:{space 3}log pseudolikelihood = {res:-313.66938}  
Iteration 5:{space 3}log pseudolikelihood = {res:-313.66293}  
Iteration 6:{space 3}log pseudolikelihood = {res:-313.66293}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    181.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-313.66293{txt}{col 49}Pseudo R2{col 67}= {res}    0.2088

{txt}{ralign 96:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                        priwin{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 27}les {c |}{col 32}{res}{space 2} .6577413{col 44}{space 2} .2531909{col 55}{space 1}    2.60{col 64}{space 3}0.009{col 72}{space 4} .1614963{col 85}{space 3} 1.153986
{txt}{space 8}nchallengers_sameparty {c |}{col 32}{res}{space 2}-.5118652{col 44}{space 2} .1836591{col 55}{space 1}   -2.79{col 64}{space 3}0.005{col 72}{space 4}-.8718304{col 85}{space 3}   -.1519
{txt}{space 30} {c |}
c.les#c.nchallengers_sameparty {c |}{col 32}{res}{space 2}-.1550988{col 44}{space 2} .0722254{col 55}{space 1}   -2.15{col 64}{space 3}0.032{col 72}{space 4} -.296658{col 85}{space 3}-.0135396
{txt}{space 30} {c |}
{space 20}pripct_lag {c |}{col 32}{res}{space 2} 1.434952{col 44}{space 2} .6347907{col 55}{space 1}    2.26{col 64}{space 3}0.024{col 72}{space 4} .1907853{col 85}{space 3} 2.679119
{txt}{space 17}incumptyadvan {c |}{col 32}{res}{space 2}-.0191549{col 44}{space 2} .0102359{col 55}{space 1}   -1.87{col 64}{space 3}0.061{col 72}{space 4}-.0392169{col 85}{space 3} .0009071
{txt}{space 13}cfscore_ideologue {c |}{col 32}{res}{space 2} 1.170334{col 44}{space 2} .3405393{col 55}{space 1}    3.44{col 64}{space 3}0.001{col 72}{space 4} .5028891{col 85}{space 3} 1.837779
{txt}{space 24}gender {c |}{col 32}{res}{space 2} .0384291{col 44}{space 2} .4424121{col 55}{space 1}    0.09{col 64}{space 3}0.931{col 72}{space 4}-.8286826{col 85}{space 3} .9055408
{txt}{space 25}power {c |}{col 32}{res}{space 2} .4855529{col 44}{space 2} .3468444{col 55}{space 1}    1.40{col 64}{space 3}0.162{col 72}{space 4}-.1942496{col 85}{space 3} 1.165355
{txt}{space 21}allleader {c |}{col 32}{res}{space 2} -.026523{col 44}{space 2} .7140239{col 55}{space 1}   -0.04{col 64}{space 3}0.970{col 72}{space 4}-1.425984{col 85}{space 3} 1.372938
{txt}{space 21}termlimit {c |}{col 32}{res}{space 2}-.0254364{col 44}{space 2} .3310609{col 55}{space 1}   -0.08{col 64}{space 3}0.939{col 72}{space 4}-.6743039{col 85}{space 3}  .623431
{txt}{space 30} {c |}
{space 24}yearDT {c |}
{space 25}1982  {c |}{col 32}{res}{space 2}-.4332902{col 44}{space 2} .8608377{col 55}{space 1}   -0.50{col 64}{space 3}0.615{col 72}{space 4}-2.120501{col 85}{space 3} 1.253921
{txt}{space 25}1984  {c |}{col 32}{res}{space 2}-.0104961{col 44}{space 2} .9226951{col 55}{space 1}   -0.01{col 64}{space 3}0.991{col 72}{space 4}-1.818945{col 85}{space 3} 1.797953
{txt}{space 25}1986  {c |}{col 32}{res}{space 2} .2974324{col 44}{space 2} 1.038303{col 55}{space 1}    0.29{col 64}{space 3}0.775{col 72}{space 4}-1.737605{col 85}{space 3} 2.332469
{txt}{space 25}1988  {c |}{col 32}{res}{space 2} .7372116{col 44}{space 2} 1.236446{col 55}{space 1}    0.60{col 64}{space 3}0.551{col 72}{space 4}-1.686178{col 85}{space 3} 3.160601
{txt}{space 25}1990  {c |}{col 32}{res}{space 2}  .735158{col 44}{space 2} 1.224834{col 55}{space 1}    0.60{col 64}{space 3}0.548{col 72}{space 4}-1.665472{col 85}{space 3} 3.135788
{txt}{space 25}1992  {c |}{col 32}{res}{space 2}-1.592241{col 44}{space 2} .7748619{col 55}{space 1}   -2.05{col 64}{space 3}0.040{col 72}{space 4}-3.110943{col 85}{space 3}-.0735397
{txt}{space 25}1994  {c |}{col 32}{res}{space 2}-.2892551{col 44}{space 2} .8958043{col 55}{space 1}   -0.32{col 64}{space 3}0.747{col 72}{space 4}-2.044999{col 85}{space 3} 1.466489
{txt}{space 25}1996  {c |}{col 32}{res}{space 2} .9262913{col 44}{space 2} 1.910027{col 55}{space 1}    0.48{col 64}{space 3}0.628{col 72}{space 4}-2.817294{col 85}{space 3} 4.669876
{txt}{space 25}1998  {c |}{col 32}{res}{space 2}  .736665{col 44}{space 2} 1.246046{col 55}{space 1}    0.59{col 64}{space 3}0.554{col 72}{space 4}-1.705541{col 85}{space 3} 3.178871
{txt}{space 25}2000  {c |}{col 32}{res}{space 2}-.5683697{col 44}{space 2} .9532434{col 55}{space 1}   -0.60{col 64}{space 3}0.551{col 72}{space 4}-2.436692{col 85}{space 3} 1.299953
{txt}{space 25}2002  {c |}{col 32}{res}{space 2}-.8140131{col 44}{space 2} .9026893{col 55}{space 1}   -0.90{col 64}{space 3}0.367{col 72}{space 4}-2.583252{col 85}{space 3} .9552255
{txt}{space 25}2004  {c |}{col 32}{res}{space 2}-.1117774{col 44}{space 2}  1.05544{col 55}{space 1}   -0.11{col 64}{space 3}0.916{col 72}{space 4}-2.180403{col 85}{space 3} 1.956848
{txt}{space 25}2006  {c |}{col 32}{res}{space 2}  .288734{col 44}{space 2} 1.194805{col 55}{space 1}    0.24{col 64}{space 3}0.809{col 72}{space 4}-2.053042{col 85}{space 3}  2.63051
{txt}{space 25}2008  {c |}{col 32}{res}{space 2}-.4893227{col 44}{space 2} .9375823{col 55}{space 1}   -0.52{col 64}{space 3}0.602{col 72}{space 4} -2.32695{col 85}{space 3} 1.348305
{txt}{space 25}2010  {c |}{col 32}{res}{space 2}-.3627779{col 44}{space 2} .9564906{col 55}{space 1}   -0.38{col 64}{space 3}0.704{col 72}{space 4}-2.237465{col 85}{space 3} 1.511909
{txt}{space 25}2012  {c |}{col 32}{res}{space 2}-.6761727{col 44}{space 2} .8963076{col 55}{space 1}   -0.75{col 64}{space 3}0.451{col 72}{space 4}-2.432903{col 85}{space 3} 1.080558
{txt}{space 25}2014  {c |}{col 32}{res}{space 2}-.7927685{col 44}{space 2} .8722451{col 55}{space 1}   -0.91{col 64}{space 3}0.363{col 72}{space 4}-2.502338{col 85}{space 3} .9168005
{txt}{space 25}2016  {c |}{col 32}{res}{space 2}-.1781617{col 44}{space 2} 1.067063{col 55}{space 1}   -0.17{col 64}{space 3}0.867{col 72}{space 4}-2.269567{col 85}{space 3} 1.913244
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 3.400799{col 44}{space 2}  .883788{col 55}{space 1}    3.85{col 64}{space 3}0.000{col 72}{space 4} 1.668606{col 85}{space 3} 5.132991
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL 3.4: 
. logit priwin c.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-314.32728}  
Iteration 1:{space 3}log pseudolikelihood = {res: -286.5972}  
Iteration 2:{space 3}log pseudolikelihood = {res:-278.90889}  
Iteration 3:{space 3}log pseudolikelihood = {res:-278.43275}  
Iteration 4:{space 3}log pseudolikelihood = {res:-278.43175}  
Iteration 5:{space 3}log pseudolikelihood = {res:-278.43175}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}     96.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-278.43175{txt}{col 49}Pseudo R2{col 67}= {res}    0.1142

{txt}{ralign 90:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                  priwin{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}{col 26}{res}{space 2} .6428173{col 38}{space 2} .2826983{col 49}{space 1}    2.27{col 58}{space 3}0.023{col 66}{space 4} .0887389{col 79}{space 3} 1.196896
{txt}{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2}-.0162205{col 38}{space 2} .2018323{col 49}{space 1}   -0.08{col 58}{space 3}0.936{col 66}{space 4}-.4118046{col 79}{space 3} .3793636
{txt}{space 24} {c |}
{space 11}c.expectation#{c |}
c.nchallengers_sameparty {c |}{col 26}{res}{space 2}-.2189063{col 38}{space 2} .1284861{col 49}{space 1}   -1.70{col 58}{space 3}0.088{col 66}{space 4}-.4707345{col 79}{space 3} .0329218
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2}   1.2698{col 38}{space 2} .6247306{col 49}{space 1}    2.03{col 58}{space 3}0.042{col 66}{space 4} .0453506{col 79}{space 3}  2.49425
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2}-.0107448{col 38}{space 2} .0099715{col 49}{space 1}   -1.08{col 58}{space 3}0.281{col 66}{space 4}-.0302886{col 79}{space 3}  .008799
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2} .9065919{col 38}{space 2} .3534345{col 49}{space 1}    2.57{col 58}{space 3}0.010{col 66}{space 4}  .213873{col 79}{space 3} 1.599311
{txt}{space 18}gender {c |}{col 26}{res}{space 2} .0655276{col 38}{space 2} .4213246{col 49}{space 1}    0.16{col 58}{space 3}0.876{col 66}{space 4}-.7602536{col 79}{space 3} .8913087
{txt}{space 19}power {c |}{col 26}{res}{space 2} .5235364{col 38}{space 2} .3487968{col 49}{space 1}    1.50{col 58}{space 3}0.133{col 66}{space 4}-.1600927{col 79}{space 3} 1.207166
{txt}{space 15}allleader {c |}{col 26}{res}{space 2} .1307194{col 38}{space 2} .7308349{col 49}{space 1}    0.18{col 58}{space 3}0.858{col 66}{space 4}-1.301691{col 79}{space 3}  1.56313
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2} .0686051{col 38}{space 2} .3120977{col 49}{space 1}    0.22{col 58}{space 3}0.826{col 66}{space 4}-.5430952{col 79}{space 3} .6803053
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2} -.179696{col 38}{space 2} .7596804{col 49}{space 1}   -0.24{col 58}{space 3}0.813{col 66}{space 4}-1.668642{col 79}{space 3}  1.30925
{txt}{space 19}1984  {c |}{col 26}{res}{space 2} .3302408{col 38}{space 2} .8343086{col 49}{space 1}    0.40{col 58}{space 3}0.692{col 66}{space 4}-1.304974{col 79}{space 3} 1.965456
{txt}{space 19}1986  {c |}{col 26}{res}{space 2} .4747441{col 38}{space 2} .9240439{col 49}{space 1}    0.51{col 58}{space 3}0.607{col 66}{space 4}-1.336349{col 79}{space 3} 2.285837
{txt}{space 19}1988  {c |}{col 26}{res}{space 2} .8086149{col 38}{space 2} 1.163923{col 49}{space 1}    0.69{col 58}{space 3}0.487{col 66}{space 4}-1.472632{col 79}{space 3} 3.089862
{txt}{space 19}1990  {c |}{col 26}{res}{space 2} .8556685{col 38}{space 2} 1.161449{col 49}{space 1}    0.74{col 58}{space 3}0.461{col 66}{space 4}-1.420729{col 79}{space 3} 3.132066
{txt}{space 19}1992  {c |}{col 26}{res}{space 2}-1.309925{col 38}{space 2} .6592775{col 49}{space 1}   -1.99{col 58}{space 3}0.047{col 66}{space 4}-2.602086{col 79}{space 3}-.0177654
{txt}{space 19}1994  {c |}{col 26}{res}{space 2}-.0208649{col 38}{space 2} .7987307{col 49}{space 1}   -0.03{col 58}{space 3}0.979{col 66}{space 4}-1.586348{col 79}{space 3} 1.544619
{txt}{space 19}1996  {c |}{col 26}{res}{space 2} .8918757{col 38}{space 2} 1.290505{col 49}{space 1}    0.69{col 58}{space 3}0.489{col 66}{space 4}-1.637467{col 79}{space 3} 3.421219
{txt}{space 19}1998  {c |}{col 26}{res}{space 2} .5456722{col 38}{space 2} 1.174348{col 49}{space 1}    0.46{col 58}{space 3}0.642{col 66}{space 4}-1.756007{col 79}{space 3} 2.847351
{txt}{space 19}2000  {c |}{col 26}{res}{space 2}-.6544066{col 38}{space 2} .8668842{col 49}{space 1}   -0.75{col 58}{space 3}0.450{col 66}{space 4}-2.353468{col 79}{space 3} 1.044655
{txt}{space 19}2002  {c |}{col 26}{res}{space 2}-.8228808{col 38}{space 2}  .816565{col 49}{space 1}   -1.01{col 58}{space 3}0.314{col 66}{space 4}-2.423319{col 79}{space 3} .7775572
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.0419493{col 38}{space 2} .9690371{col 49}{space 1}   -0.04{col 58}{space 3}0.965{col 66}{space 4}-1.941227{col 79}{space 3} 1.857329
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .1782111{col 38}{space 2} .9988039{col 49}{space 1}    0.18{col 58}{space 3}0.858{col 66}{space 4}-1.779409{col 79}{space 3} 2.135831
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.4520287{col 38}{space 2} .8226881{col 49}{space 1}   -0.55{col 58}{space 3}0.583{col 66}{space 4}-2.064468{col 79}{space 3}  1.16041
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.1145207{col 38}{space 2} .8295798{col 49}{space 1}   -0.14{col 58}{space 3}0.890{col 66}{space 4}-1.740467{col 79}{space 3} 1.511426
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.2051282{col 38}{space 2} .7896168{col 49}{space 1}   -0.26{col 58}{space 3}0.795{col 66}{space 4}-1.752749{col 79}{space 3} 1.342492
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.3313823{col 38}{space 2} .7796687{col 49}{space 1}   -0.43{col 58}{space 3}0.671{col 66}{space 4}-1.859505{col 79}{space 3}  1.19674
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1538329{col 38}{space 2} .8551898{col 49}{space 1}    0.18{col 58}{space 3}0.857{col 66}{space 4}-1.522308{col 79}{space 3} 1.829974
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 1.659875{col 38}{space 2} .8587782{col 49}{space 1}    1.93{col 58}{space 3}0.053{col 66}{space 4}-.0232993{col 79}{space 3} 3.343049
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE 4: PROBABILITY OF PRIMARY DEFEAT BY EFFECTIVENESS AND NUMBER OF CHALLENGERS (Based on Model 3.4)
. logit prilose c.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-314.32728}  
Iteration 1:{space 3}log pseudolikelihood = {res: -286.5972}  
Iteration 2:{space 3}log pseudolikelihood = {res:-278.90889}  
Iteration 3:{space 3}log pseudolikelihood = {res:-278.43275}  
Iteration 4:{space 3}log pseudolikelihood = {res:-278.43175}  
Iteration 5:{space 3}log pseudolikelihood = {res:-278.43175}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}     96.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-278.43175{txt}{col 49}Pseudo R2{col 67}= {res}    0.1142

{txt}{ralign 90:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                 prilose{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}{col 26}{res}{space 2}-.6428173{col 38}{space 2} .2826983{col 49}{space 1}   -2.27{col 58}{space 3}0.023{col 66}{space 4}-1.196896{col 79}{space 3}-.0887389
{txt}{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2} .0162205{col 38}{space 2} .2018323{col 49}{space 1}    0.08{col 58}{space 3}0.936{col 66}{space 4}-.3793636{col 79}{space 3} .4118046
{txt}{space 24} {c |}
{space 11}c.expectation#{c |}
c.nchallengers_sameparty {c |}{col 26}{res}{space 2} .2189063{col 38}{space 2} .1284861{col 49}{space 1}    1.70{col 58}{space 3}0.088{col 66}{space 4}-.0329218{col 79}{space 3} .4707345
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2}  -1.2698{col 38}{space 2} .6247306{col 49}{space 1}   -2.03{col 58}{space 3}0.042{col 66}{space 4} -2.49425{col 79}{space 3}-.0453506
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2} .0107448{col 38}{space 2} .0099715{col 49}{space 1}    1.08{col 58}{space 3}0.281{col 66}{space 4} -.008799{col 79}{space 3} .0302886
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2}-.9065919{col 38}{space 2} .3534345{col 49}{space 1}   -2.57{col 58}{space 3}0.010{col 66}{space 4}-1.599311{col 79}{space 3} -.213873
{txt}{space 18}gender {c |}{col 26}{res}{space 2}-.0655276{col 38}{space 2} .4213246{col 49}{space 1}   -0.16{col 58}{space 3}0.876{col 66}{space 4}-.8913087{col 79}{space 3} .7602536
{txt}{space 19}power {c |}{col 26}{res}{space 2}-.5235364{col 38}{space 2} .3487968{col 49}{space 1}   -1.50{col 58}{space 3}0.133{col 66}{space 4}-1.207166{col 79}{space 3} .1600927
{txt}{space 15}allleader {c |}{col 26}{res}{space 2}-.1307194{col 38}{space 2} .7308349{col 49}{space 1}   -0.18{col 58}{space 3}0.858{col 66}{space 4} -1.56313{col 79}{space 3} 1.301691
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2}-.0686051{col 38}{space 2} .3120977{col 49}{space 1}   -0.22{col 58}{space 3}0.826{col 66}{space 4}-.6803053{col 79}{space 3} .5430952
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2}  .179696{col 38}{space 2} .7596804{col 49}{space 1}    0.24{col 58}{space 3}0.813{col 66}{space 4} -1.30925{col 79}{space 3} 1.668642
{txt}{space 19}1984  {c |}{col 26}{res}{space 2}-.3302408{col 38}{space 2} .8343086{col 49}{space 1}   -0.40{col 58}{space 3}0.692{col 66}{space 4}-1.965456{col 79}{space 3} 1.304974
{txt}{space 19}1986  {c |}{col 26}{res}{space 2}-.4747441{col 38}{space 2} .9240439{col 49}{space 1}   -0.51{col 58}{space 3}0.607{col 66}{space 4}-2.285837{col 79}{space 3} 1.336349
{txt}{space 19}1988  {c |}{col 26}{res}{space 2}-.8086149{col 38}{space 2} 1.163923{col 49}{space 1}   -0.69{col 58}{space 3}0.487{col 66}{space 4}-3.089862{col 79}{space 3} 1.472632
{txt}{space 19}1990  {c |}{col 26}{res}{space 2}-.8556685{col 38}{space 2} 1.161449{col 49}{space 1}   -0.74{col 58}{space 3}0.461{col 66}{space 4}-3.132066{col 79}{space 3} 1.420729
{txt}{space 19}1992  {c |}{col 26}{res}{space 2} 1.309925{col 38}{space 2} .6592775{col 49}{space 1}    1.99{col 58}{space 3}0.047{col 66}{space 4} .0177654{col 79}{space 3} 2.602086
{txt}{space 19}1994  {c |}{col 26}{res}{space 2} .0208649{col 38}{space 2} .7987307{col 49}{space 1}    0.03{col 58}{space 3}0.979{col 66}{space 4}-1.544619{col 79}{space 3} 1.586348
{txt}{space 19}1996  {c |}{col 26}{res}{space 2}-.8918757{col 38}{space 2} 1.290505{col 49}{space 1}   -0.69{col 58}{space 3}0.489{col 66}{space 4}-3.421219{col 79}{space 3} 1.637467
{txt}{space 19}1998  {c |}{col 26}{res}{space 2}-.5456722{col 38}{space 2} 1.174348{col 49}{space 1}   -0.46{col 58}{space 3}0.642{col 66}{space 4}-2.847351{col 79}{space 3} 1.756007
{txt}{space 19}2000  {c |}{col 26}{res}{space 2} .6544066{col 38}{space 2} .8668842{col 49}{space 1}    0.75{col 58}{space 3}0.450{col 66}{space 4}-1.044655{col 79}{space 3} 2.353468
{txt}{space 19}2002  {c |}{col 26}{res}{space 2} .8228808{col 38}{space 2}  .816565{col 49}{space 1}    1.01{col 58}{space 3}0.314{col 66}{space 4}-.7775572{col 79}{space 3} 2.423319
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0419493{col 38}{space 2} .9690371{col 49}{space 1}    0.04{col 58}{space 3}0.965{col 66}{space 4}-1.857329{col 79}{space 3} 1.941227
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}-.1782111{col 38}{space 2} .9988039{col 49}{space 1}   -0.18{col 58}{space 3}0.858{col 66}{space 4}-2.135831{col 79}{space 3} 1.779409
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} .4520287{col 38}{space 2} .8226881{col 49}{space 1}    0.55{col 58}{space 3}0.583{col 66}{space 4} -1.16041{col 79}{space 3} 2.064468
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .1145207{col 38}{space 2} .8295798{col 49}{space 1}    0.14{col 58}{space 3}0.890{col 66}{space 4}-1.511426{col 79}{space 3} 1.740467
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .2051282{col 38}{space 2} .7896168{col 49}{space 1}    0.26{col 58}{space 3}0.795{col 66}{space 4}-1.342492{col 79}{space 3} 1.752749
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} .3313823{col 38}{space 2} .7796687{col 49}{space 1}    0.43{col 58}{space 3}0.671{col 66}{space 4} -1.19674{col 79}{space 3} 1.859505
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.1538329{col 38}{space 2} .8551898{col 49}{space 1}   -0.18{col 58}{space 3}0.857{col 66}{space 4}-1.829974{col 79}{space 3} 1.522308
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.659875{col 38}{space 2} .8587782{col 49}{space 1}   -1.93{col 58}{space 3}0.053{col 66}{space 4}-3.343049{col 79}{space 3} .0232993
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * FOR ONE PRIMARY CHALLENGER:
. margins, atmeans at(gender=0 power=0 allleader=0 expectation=(1 2 3) nchallengers_sameparty=(1))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(prilose), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0279118{col 26}{space 2} .0060038{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4} .0161447{col 67}{space 3}  .039679
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0184457{col 26}{space 2} .0036005{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .0113889{col 67}{space 3} .0255025
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0121498{col 26}{space 2} .0040084{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0042934{col 67}{space 3} .0200062
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * FOR TWO PRIMARY CHALLENGERS:
. margins, atmeans at(gender=0 power=0 allleader=0 expectation=(1 2 3) nchallengers_sameparty=(2))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(prilose), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0350511{col 26}{space 2} .0072053{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0209288{col 67}{space 3} .0491733
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0287408{col 26}{space 2} .0054635{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .0180326{col 67}{space 3}  .039449
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0235389{col 26}{space 2} .0072773{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0092757{col 67}{space 3} .0378022
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * FOR THREE PRIMARY CHALLENGERS:
. margins, atmeans at(gender=0 power=0 allleader=0 expectation=(1 2 3) nchallengers_sameparty=(3))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(prilose), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:expectation}{space 5}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nchallenge~y}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pripct_lag}{space 6}{txt:=} {space 3}.8259447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:incumptyad~n}{space 4}{txt:=} {space 3}11.65584 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:cfscore_id~e}{space 4}{txt:=} {space 3}.6210213 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gender}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:power}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allleader}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:termlimit}{space 7}{txt:=} {space 3}.2831403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1980.yearDT}{space 5}{txt:=} {space 3}.0519091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1982.yearDT}{space 5}{txt:=} {space 4}.045045 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1984.yearDT}{space 5}{txt:=} {space 3}.0626341 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1986.yearDT}{space 5}{txt:=} {space 3}.0540541 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1988.yearDT}{space 5}{txt:=} {space 4}.037752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1990.yearDT}{space 5}{txt:=} {space 4}.043329 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.yearDT}{space 5}{txt:=} {space 3}.0604891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.yearDT}{space 5}{txt:=} {space 3}.0553411 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.yearDT}{space 5}{txt:=} {space 4}.043758 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.yearDT}{space 5}{txt:=} {space 4}.033033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.yearDT}{space 5}{txt:=} {space 5}.03432 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.yearDT}{space 5}{txt:=} {space 4}.040326 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.yearDT}{space 5}{txt:=} {space 4}.040755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.yearDT}{space 5}{txt:=} {space 4}.041613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.yearDT}{space 5}{txt:=} {space 4}.044616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.yearDT}{space 5}{txt:=} {space 3}.0656371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2012.yearDT}{space 5}{txt:=} {space 3}.0806521 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2014.yearDT}{space 5}{txt:=} {space 3}.0759331 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2016.yearDT}{space 5}{txt:=} {space 3}.0888031 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0439338{col 26}{space 2} .0104099{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .0235309{col 67}{space 3} .0643368
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0445215{col 26}{space 2} .0104943{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4}  .023953{col 67}{space 3} .0650899
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0451166{col 26}{space 2} .0184271{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0090001{col 67}{space 3}  .081233
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
. 
. ***************************************
. *** SUPPLEMENTAL APPENDIX MATERIALS ***
. ***************************************
. 
. * TABLE A1: Summary statistics table 
. sum expectation sumqualchall sumchall15pct pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit nchallengers_sameparty seniority majority comsubchair priwin

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}expectation {c |}{res}      7,463    1.853678    .7680829          1          3
{txt}sumqualchall {c |}{res}      7,464    .0699357    .3096322          0          5
{txt}sumchall15~t {c |}{res}      7,464    .0639068    .2706107          0          4
{txt}{space 2}pripct_lag {c |}{res}      7,459    .8792367    .1976581   .0590519          1
{txt}incumptyad~n {c |}{res}      7,464    8.825923     11.6825  -31.85065   54.48339
{txt}{hline 13}{c +}{hline 57}
cfscore_id~e {c |}{res}      7,461    .6283576    .3703674  -1.212094   1.723485
{txt}{space 6}gender {c |}{res}      7,464    .1146838    .3186613          0          1
{txt}{space 7}power {c |}{res}      7,463    .2505695      .43337          0          1
{txt}{space 3}allleader {c |}{res}      7,464    .0426045    .2019773          0          1
{txt}{space 3}termlimit {c |}{res}      7,464    .2481243    .4319533          0          1
{txt}{hline 13}{c +}{hline 57}
nchallenge~y {c |}{res}      7,464    .4367631    .9061666          0         26
{txt}{space 3}seniority {c |}{res}      7,463    5.132252    4.020359          1         29
{txt}{space 4}majority {c |}{res}      7,463    .5686721    .4952949          0          1
{txt}{space 1}comsubchair {c |}{res}      7,464    .2650054    .4413656          0          1
{txt}{space 6}priwin {c |}{res}      7,464    .9904877    .0970727          0          1
{txt}
{com}. 
. * TABLE A2
. * MODEL A2.1: 
. zip sumqualchall seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1798.3197}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1779.0981}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1763.1082}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1762.4442}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1762.4432}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1762.4432}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}28{txt})     = {res}    369.58
{txt}Log pseudolikelihood = {res}-1762.443                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 8}seniority {c |}{col 19}{res}{space 2} .0390331{col 31}{space 2} .0138458{col 42}{space 1}    2.82{col 51}{space 3}0.005{col 59}{space 4} .0118958{col 72}{space 3} .0661703
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0284852{col 31}{space 2} .1325578{col 42}{space 1}    0.21{col 51}{space 3}0.830{col 59}{space 4}-.2313233{col 72}{space 3} .2882936
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2} .0259119{col 31}{space 2} .1479002{col 42}{space 1}    0.18{col 51}{space 3}0.861{col 59}{space 4}-.2639671{col 72}{space 3} .3157909
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.3109461{col 31}{space 2} .1281044{col 42}{space 1}   -2.43{col 51}{space 3}0.015{col 59}{space 4} -.562026{col 72}{space 3}-.0598662
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.4466199{col 31}{space 2} .2869047{col 42}{space 1}   -1.56{col 51}{space 3}0.120{col 59}{space 4}-1.008943{col 72}{space 3}  .115703
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.580353{col 31}{space 2} .2566859{col 42}{space 1}   -6.16{col 51}{space 3}0.000{col 59}{space 4}-2.083448{col 72}{space 3}-1.077258
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0368515{col 31}{space 2} .0044975{col 42}{space 1}    8.19{col 51}{space 3}0.000{col 59}{space 4} .0280365{col 72}{space 3} .0456664
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.6388803{col 31}{space 2}  .166116{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-.9644616{col 72}{space 3}-.3132989
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0628118{col 31}{space 2} .1781881{col 42}{space 1}   -0.35{col 51}{space 3}0.724{col 59}{space 4}-.4120539{col 72}{space 3} .2864304
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0243027{col 31}{space 2} .1400687{col 42}{space 1}   -0.17{col 51}{space 3}0.862{col 59}{space 4}-.2988323{col 72}{space 3} .2502269
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0468261{col 31}{space 2}   .31486{col 42}{space 1}    0.15{col 51}{space 3}0.882{col 59}{space 4}-.5702882{col 72}{space 3} .6639404
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.1470269{col 31}{space 2} .3861649{col 42}{space 1}   -0.38{col 51}{space 3}0.703{col 59}{space 4}-.9038962{col 72}{space 3} .6098424
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.4403869{col 31}{space 2} .3485305{col 42}{space 1}   -1.26{col 51}{space 3}0.206{col 59}{space 4}-1.123494{col 72}{space 3} .2427203
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.4854636{col 31}{space 2} .3673599{col 42}{space 1}   -1.32{col 51}{space 3}0.186{col 59}{space 4}-1.205476{col 72}{space 3} .2345485
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} -.070251{col 31}{space 2} .3428777{col 42}{space 1}   -0.20{col 51}{space 3}0.838{col 59}{space 4} -.742279{col 72}{space 3} .6017769
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .8484102{col 31}{space 2} .2940219{col 42}{space 1}    2.89{col 51}{space 3}0.004{col 59}{space 4}  .272138{col 72}{space 3} 1.424682
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}  .086683{col 31}{space 2}  .320567{col 42}{space 1}    0.27{col 51}{space 3}0.787{col 59}{space 4}-.5416169{col 72}{space 3} .7149828
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .0965078{col 31}{space 2}  .411171{col 42}{space 1}    0.23{col 51}{space 3}0.814{col 59}{space 4}-.7093725{col 72}{space 3} .9023881
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.7251958{col 31}{space 2} .3969294{col 42}{space 1}   -1.83{col 51}{space 3}0.068{col 59}{space 4}-1.503163{col 72}{space 3} .0527716
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.5373349{col 31}{space 2} .3784732{col 42}{space 1}   -1.42{col 51}{space 3}0.156{col 59}{space 4}-1.279129{col 72}{space 3}  .204459
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .0778956{col 31}{space 2} .3538738{col 42}{space 1}    0.22{col 51}{space 3}0.826{col 59}{space 4}-.6156844{col 72}{space 3} .7714755
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}  .174295{col 31}{space 2} .3346455{col 42}{space 1}    0.52{col 51}{space 3}0.602{col 59}{space 4}-.4815981{col 72}{space 3}  .830188
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .1639888{col 31}{space 2} .3480081{col 42}{space 1}    0.47{col 51}{space 3}0.637{col 59}{space 4}-.5180947{col 72}{space 3} .8460722
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .5084437{col 31}{space 2} .3262733{col 42}{space 1}    1.56{col 51}{space 3}0.119{col 59}{space 4}-.1310403{col 72}{space 3} 1.147928
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .5639921{col 31}{space 2} .3061418{col 42}{space 1}    1.84{col 51}{space 3}0.065{col 59}{space 4}-.0360347{col 72}{space 3} 1.164019
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .6280886{col 31}{space 2} .2992234{col 42}{space 1}    2.10{col 51}{space 3}0.036{col 59}{space 4} .0416215{col 72}{space 3} 1.214556
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.2425066{col 31}{space 2} .3375387{col 42}{space 1}   -0.72{col 51}{space 3}0.472{col 59}{space 4}-.9040704{col 72}{space 3} .4190572
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .5795978{col 31}{space 2} .3029855{col 42}{space 1}    1.91{col 51}{space 3}0.056{col 59}{space 4}-.0142429{col 72}{space 3} 1.173438
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.6674497{col 31}{space 2}  .358814{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4}-1.370712{col 72}{space 3} .0358129
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  .543506{col 31}{space 2} .2090527{col 42}{space 1}    2.60{col 51}{space 3}0.009{col 59}{space 4} .1337702{col 72}{space 3} .9532419
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A2.2: 
. zip sumqualchall seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1449.1011}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1372.0087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1366.2988}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1360.483}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1359.7056}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1359.704}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1299.0641}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1296.3577}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1295.9585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1295.9404}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1295.9402}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     1,894

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}28{txt})     = {res}    136.99
{txt}Log pseudolikelihood = {res} -1295.94                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 8}seniority {c |}{col 19}{res}{space 2} .0314517{col 31}{space 2} .0132764{col 42}{space 1}    2.37{col 51}{space 3}0.018{col 59}{space 4} .0054303{col 72}{space 3}  .057473
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0361725{col 31}{space 2} .1264052{col 42}{space 1}    0.29{col 51}{space 3}0.775{col 59}{space 4}-.2115771{col 72}{space 3} .2839221
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.2327681{col 31}{space 2} .1421849{col 42}{space 1}   -1.64{col 51}{space 3}0.102{col 59}{space 4}-.5114454{col 72}{space 3} .0459092
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.3086282{col 31}{space 2} .1212605{col 42}{space 1}   -2.55{col 51}{space 3}0.011{col 59}{space 4}-.5462944{col 72}{space 3} -.070962
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} -.621785{col 31}{space 2} .3021346{col 42}{space 1}   -2.06{col 51}{space 3}0.040{col 59}{space 4}-1.213958{col 72}{space 3} -.029612
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.5543197{col 31}{space 2} .2498901{col 42}{space 1}   -2.22{col 51}{space 3}0.027{col 59}{space 4}-1.044095{col 72}{space 3}-.0645441
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0223317{col 31}{space 2} .0041063{col 42}{space 1}    5.44{col 51}{space 3}0.000{col 59}{space 4} .0142834{col 72}{space 3} .0303799
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.4305726{col 31}{space 2} .1669206{col 42}{space 1}   -2.58{col 51}{space 3}0.010{col 59}{space 4}-.7577311{col 72}{space 3}-.1034142
{txt}{space 11}gender {c |}{col 19}{res}{space 2} -.116641{col 31}{space 2} .1619803{col 42}{space 1}   -0.72{col 51}{space 3}0.471{col 59}{space 4}-.4341165{col 72}{space 3} .2008344
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} -.143471{col 31}{space 2} .1360271{col 42}{space 1}   -1.05{col 51}{space 3}0.292{col 59}{space 4}-.4100793{col 72}{space 3} .1231372
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0546021{col 31}{space 2} .2981242{col 42}{space 1}    0.18{col 51}{space 3}0.855{col 59}{space 4}-.5297105{col 72}{space 3} .6389147
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.3290663{col 31}{space 2} .3700988{col 42}{space 1}   -0.89{col 51}{space 3}0.374{col 59}{space 4}-1.054447{col 72}{space 3} .3963141
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} -.537931{col 31}{space 2} .3352493{col 42}{space 1}   -1.60{col 51}{space 3}0.109{col 59}{space 4}-1.195008{col 72}{space 3} .1191456
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.2122329{col 31}{space 2} .3509113{col 42}{space 1}   -0.60{col 51}{space 3}0.545{col 59}{space 4}-.9000064{col 72}{space 3} .4755406
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .0586236{col 31}{space 2}  .317411{col 42}{space 1}    0.18{col 51}{space 3}0.853{col 59}{space 4}-.5634904{col 72}{space 3} .6807377
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .6229131{col 31}{space 2} .2723355{col 42}{space 1}    2.29{col 51}{space 3}0.022{col 59}{space 4} .0891453{col 72}{space 3} 1.156681
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .1525935{col 31}{space 2} .3046464{col 42}{space 1}    0.50{col 51}{space 3}0.616{col 59}{space 4}-.4445025{col 72}{space 3} .7496895
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .1726305{col 31}{space 2} .3782841{col 42}{space 1}    0.46{col 51}{space 3}0.648{col 59}{space 4}-.5687926{col 72}{space 3} .9140537
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.3351902{col 31}{space 2} .3792166{col 42}{space 1}   -0.88{col 51}{space 3}0.377{col 59}{space 4}-1.078441{col 72}{space 3} .4080607
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1923951{col 31}{space 2} .3574121{col 42}{space 1}   -0.54{col 51}{space 3}0.590{col 59}{space 4}  -.89291{col 72}{space 3} .5081199
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .2334185{col 31}{space 2} .3313714{col 42}{space 1}    0.70{col 51}{space 3}0.481{col 59}{space 4}-.4160575{col 72}{space 3} .8828944
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .3540888{col 31}{space 2} .3142493{col 42}{space 1}    1.13{col 51}{space 3}0.260{col 59}{space 4}-.2618285{col 72}{space 3} .9700062
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .3280615{col 31}{space 2} .3302602{col 42}{space 1}    0.99{col 51}{space 3}0.321{col 59}{space 4}-.3192367{col 72}{space 3} .9753596
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .6253851{col 31}{space 2} .3063225{col 42}{space 1}    2.04{col 51}{space 3}0.041{col 59}{space 4} .0250041{col 72}{space 3} 1.225766
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .3266154{col 31}{space 2} .2874045{col 42}{space 1}    1.14{col 51}{space 3}0.256{col 59}{space 4}-.2366869{col 72}{space 3} .8899178
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .2468562{col 31}{space 2} .2775473{col 42}{space 1}    0.89{col 51}{space 3}0.374{col 59}{space 4}-.2971265{col 72}{space 3} .7908389
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.5023556{col 31}{space 2}  .333091{col 42}{space 1}   -1.51{col 51}{space 3}0.132{col 59}{space 4}-1.155202{col 72}{space 3} .1504908
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .1698211{col 31}{space 2}  .289076{col 42}{space 1}    0.59{col 51}{space 3}0.557{col 59}{space 4}-.3967574{col 72}{space 3} .7363995
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.9436636{col 31}{space 2} .3643915{col 42}{space 1}   -2.59{col 51}{space 3}0.010{col 59}{space 4}-1.657858{col 72}{space 3}-.2294693
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-1.253014{col 31}{space 2} .5219705{col 42}{space 1}   -2.40{col 51}{space 3}0.016{col 59}{space 4}-2.276058{col 72}{space 3}-.2299711
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A2.3: 
. zip sumchall15pct seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1361.1829}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1284.4274}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1271.503}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1265.2054}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1264.9082}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1264.7882}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1264.716}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1193.5028}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1183.4765}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1181.3414}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1181.3187}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1181.3187}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       433
                                                {txt}Zero obs          = {res}     1,898

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}28{txt})     = {res}    196.87
{txt}Log pseudolikelihood = {res}-1181.319                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    sumchall15pct{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumchall15pct     {txt}{c |}
{space 8}seniority {c |}{col 19}{res}{space 2} .0425471{col 31}{space 2} .0126847{col 42}{space 1}    3.35{col 51}{space 3}0.001{col 59}{space 4} .0176857{col 72}{space 3} .0674086
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0280085{col 31}{space 2} .1238108{col 42}{space 1}    0.23{col 51}{space 3}0.821{col 59}{space 4}-.2146562{col 72}{space 3} .2706731
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.3455358{col 31}{space 2}  .142609{col 42}{space 1}   -2.42{col 51}{space 3}0.015{col 59}{space 4}-.6250443{col 72}{space 3}-.0660273
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.5530792{col 31}{space 2} .1399435{col 42}{space 1}   -3.95{col 51}{space 3}0.000{col 59}{space 4}-.8273634{col 72}{space 3} -.278795
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-1.756131{col 31}{space 2} .5255277{col 42}{space 1}   -3.34{col 51}{space 3}0.001{col 59}{space 4}-2.786146{col 72}{space 3}-.7261151
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.057364{col 31}{space 2} .2313751{col 42}{space 1}   -4.57{col 51}{space 3}0.000{col 59}{space 4}-1.510851{col 72}{space 3}-.6038772
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}  .023033{col 31}{space 2} .0035868{col 42}{space 1}    6.42{col 51}{space 3}0.000{col 59}{space 4}  .016003{col 72}{space 3}  .030063
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.1567911{col 31}{space 2} .1491137{col 42}{space 1}   -1.05{col 51}{space 3}0.293{col 59}{space 4}-.4490487{col 72}{space 3} .1354664
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.2814369{col 31}{space 2} .1596794{col 42}{space 1}   -1.76{col 51}{space 3}0.078{col 59}{space 4}-.5944029{col 72}{space 3}  .031529
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1530671{col 31}{space 2} .1338533{col 42}{space 1}   -1.14{col 51}{space 3}0.253{col 59}{space 4}-.4154148{col 72}{space 3} .1092807
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2}-.1999425{col 31}{space 2} .2290992{col 42}{space 1}   -0.87{col 51}{space 3}0.383{col 59}{space 4}-.6489687{col 72}{space 3} .2490837
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.4611115{col 31}{space 2} .2058216{col 42}{space 1}   -2.24{col 51}{space 3}0.025{col 59}{space 4}-.8645145{col 72}{space 3}-.0577085
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.8535291{col 31}{space 2} .2730359{col 42}{space 1}   -3.13{col 51}{space 3}0.002{col 59}{space 4} -1.38867{col 72}{space 3}-.3183886
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.6704331{col 31}{space 2} .3027293{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-1.263772{col 72}{space 3}-.0770945
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} -.630058{col 31}{space 2} .2624001{col 42}{space 1}   -2.40{col 51}{space 3}0.016{col 59}{space 4}-1.144353{col 72}{space 3}-.1157631
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.1432378{col 31}{space 2} .2112022{col 42}{space 1}   -0.68{col 51}{space 3}0.498{col 59}{space 4}-.5571866{col 72}{space 3}  .270711
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}-.5402602{col 31}{space 2}  .226144{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.9834942{col 72}{space 3}-.0970261
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} -.371095{col 31}{space 2} .2540025{col 42}{space 1}   -1.46{col 51}{space 3}0.144{col 59}{space 4}-.8689307{col 72}{space 3} .1267407
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.7528483{col 31}{space 2} .3451079{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-1.429247{col 72}{space 3}-.0764492
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.5713731{col 31}{space 2} .2822433{col 42}{space 1}   -2.02{col 51}{space 3}0.043{col 59}{space 4} -1.12456{col 72}{space 3}-.0181864
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.4777486{col 31}{space 2}  .280589{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-1.027693{col 72}{space 3} .0721957
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.7380064{col 31}{space 2} .2878309{col 42}{space 1}   -2.56{col 51}{space 3}0.010{col 59}{space 4}-1.302145{col 72}{space 3}-.1738682
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}-.2486604{col 31}{space 2}  .258852{col 42}{space 1}   -0.96{col 51}{space 3}0.337{col 59}{space 4} -.756001{col 72}{space 3} .2586802
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.2273293{col 31}{space 2} .2384655{col 42}{space 1}   -0.95{col 51}{space 3}0.340{col 59}{space 4}-.6947131{col 72}{space 3} .2400544
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}-.5912538{col 31}{space 2} .2682369{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4}-1.116988{col 72}{space 3}-.0655192
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.7201165{col 31}{space 2} .2385678{col 42}{space 1}   -3.02{col 51}{space 3}0.003{col 59}{space 4}-1.187701{col 72}{space 3}-.2525322
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.8174945{col 31}{space 2} .2674811{col 42}{space 1}   -3.06{col 51}{space 3}0.002{col 59}{space 4}-1.341748{col 72}{space 3}-.2932412
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.7804967{col 31}{space 2} .2447293{col 42}{space 1}   -3.19{col 51}{space 3}0.001{col 59}{space 4}-1.260157{col 72}{space 3}-.3008361
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.3794869{col 31}{space 2} .2329055{col 42}{space 1}   -1.63{col 51}{space 3}0.103{col 59}{space 4}-.8359733{col 72}{space 3} .0769996
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-31.53356{col 31}{space 2} .3828829{col 42}{space 1}  -82.36{col 51}{space 3}0.000{col 59}{space 4}  -32.284{col 72}{space 3}-30.78312
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE A3
. * MODEL A3.1: 
. zip sumqualchall expectation seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1796.7199}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1780.9498}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1758.9349}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1758.1879}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1758.1861}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1758.1861}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}    403.80
{txt}Log pseudolikelihood = {res}-1758.186                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1872155{col 31}{space 2}  .073434{col 42}{space 1}   -2.55{col 51}{space 3}0.011{col 59}{space 4}-.3311435{col 72}{space 3}-.0432876
{txt}{space 8}seniority {c |}{col 19}{res}{space 2} .0385623{col 31}{space 2} .0142375{col 42}{space 1}    2.71{col 51}{space 3}0.007{col 59}{space 4} .0106573{col 72}{space 3} .0664673
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0159931{col 31}{space 2} .1327651{col 42}{space 1}    0.12{col 51}{space 3}0.904{col 59}{space 4}-.2442217{col 72}{space 3}  .276208
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2} .0562208{col 31}{space 2} .1489131{col 42}{space 1}    0.38{col 51}{space 3}0.706{col 59}{space 4}-.2356436{col 72}{space 3} .3480852
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.3344492{col 31}{space 2} .1286011{col 42}{space 1}   -2.60{col 51}{space 3}0.009{col 59}{space 4}-.5865028{col 72}{space 3}-.0823956
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.4474733{col 31}{space 2} .2904497{col 42}{space 1}   -1.54{col 51}{space 3}0.123{col 59}{space 4}-1.016744{col 72}{space 3} .1217976
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.563089{col 31}{space 2} .2589737{col 42}{space 1}   -6.04{col 51}{space 3}0.000{col 59}{space 4}-2.070668{col 72}{space 3} -1.05551
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0361367{col 31}{space 2} .0044401{col 42}{space 1}    8.14{col 51}{space 3}0.000{col 59}{space 4} .0274343{col 72}{space 3} .0448392
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.6288333{col 31}{space 2}  .165445{col 42}{space 1}   -3.80{col 51}{space 3}0.000{col 59}{space 4}-.9530994{col 72}{space 3}-.3045672
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0617367{col 31}{space 2}  .177853{col 42}{space 1}   -0.35{col 51}{space 3}0.728{col 59}{space 4}-.4103221{col 72}{space 3} .2868487
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} -.015873{col 31}{space 2} .1415449{col 42}{space 1}   -0.11{col 51}{space 3}0.911{col 59}{space 4}-.2932958{col 72}{space 3} .2615499
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0407511{col 31}{space 2} .3142734{col 42}{space 1}    0.13{col 51}{space 3}0.897{col 59}{space 4}-.5752134{col 72}{space 3} .6567156
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.1617598{col 31}{space 2} .3841881{col 42}{space 1}   -0.42{col 51}{space 3}0.674{col 59}{space 4}-.9147546{col 72}{space 3} .5912351
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.4476514{col 31}{space 2} .3491005{col 42}{space 1}   -1.28{col 51}{space 3}0.200{col 59}{space 4}-1.131876{col 72}{space 3}  .236573
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.4986398{col 31}{space 2} .3645097{col 42}{space 1}   -1.37{col 51}{space 3}0.171{col 59}{space 4}-1.213066{col 72}{space 3} .2157861
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.0686706{col 31}{space 2} .3426866{col 42}{space 1}   -0.20{col 51}{space 3}0.841{col 59}{space 4}-.7403239{col 72}{space 3} .6029828
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .8574599{col 31}{space 2} .2923164{col 42}{space 1}    2.93{col 51}{space 3}0.003{col 59}{space 4} .2845303{col 72}{space 3} 1.430389
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .0849063{col 31}{space 2} .3213537{col 42}{space 1}    0.26{col 51}{space 3}0.792{col 59}{space 4}-.5449354{col 72}{space 3} .7147481
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .0928117{col 31}{space 2} .4100484{col 42}{space 1}    0.23{col 51}{space 3}0.821{col 59}{space 4}-.7108684{col 72}{space 3} .8964918
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.7061592{col 31}{space 2}  .393438{col 42}{space 1}   -1.79{col 51}{space 3}0.073{col 59}{space 4}-1.477283{col 72}{space 3}  .064965
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.5292969{col 31}{space 2} .3785193{col 42}{space 1}   -1.40{col 51}{space 3}0.162{col 59}{space 4}-1.271181{col 72}{space 3} .2125872
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .0818554{col 31}{space 2} .3520417{col 42}{space 1}    0.23{col 51}{space 3}0.816{col 59}{space 4}-.6081336{col 72}{space 3} .7718444
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .1867518{col 31}{space 2} .3347263{col 42}{space 1}    0.56{col 51}{space 3}0.577{col 59}{space 4}-.4692997{col 72}{space 3} .8428033
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .1755889{col 31}{space 2} .3471628{col 42}{space 1}    0.51{col 51}{space 3}0.613{col 59}{space 4}-.5048377{col 72}{space 3} .8560156
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .5396509{col 31}{space 2} .3262836{col 42}{space 1}    1.65{col 51}{space 3}0.098{col 59}{space 4}-.0998532{col 72}{space 3} 1.179155
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .5748162{col 31}{space 2} .3067805{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4}-.0264625{col 72}{space 3} 1.176095
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .6403973{col 31}{space 2} .2999292{col 42}{space 1}    2.14{col 51}{space 3}0.033{col 59}{space 4} .0525468{col 72}{space 3} 1.228248
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.2330007{col 31}{space 2} .3375145{col 42}{space 1}   -0.69{col 51}{space 3}0.490{col 59}{space 4}-.8945169{col 72}{space 3} .4285155
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .6056067{col 31}{space 2} .3031416{col 42}{space 1}    2.00{col 51}{space 3}0.046{col 59}{space 4}   .01146{col 72}{space 3} 1.199753
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.3391585{col 31}{space 2} .3946707{col 42}{space 1}   -0.86{col 51}{space 3}0.390{col 59}{space 4}-1.112699{col 72}{space 3} .4343818
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .5535547{col 31}{space 2} .2049153{col 42}{space 1}    2.70{col 51}{space 3}0.007{col 59}{space 4} .1519281{col 72}{space 3} .9551813
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A3.2:
. zip sumqualchall i.expectation seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1795.8805}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1783.8618}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1757.1283}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1756.4551}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1756.4544}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1756.4544}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}30{txt})     = {res}    406.01
{txt}Log pseudolikelihood = {res}-1756.454                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         sumqualchall{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall          {txt}{c |}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2}-.3503523{col 35}{space 2} .1153641{col 46}{space 1}   -3.04{col 55}{space 3}0.002{col 63}{space 4}-.5764617{col 76}{space 3}-.1242428
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2}-.3162185{col 35}{space 2} .1395074{col 46}{space 1}   -2.27{col 55}{space 3}0.023{col 63}{space 4} -.589648{col 76}{space 3} -.042789
{txt}{space 21} {c |}
{space 12}seniority {c |}{col 23}{res}{space 2} .0395453{col 35}{space 2} .0142596{col 46}{space 1}    2.77{col 55}{space 3}0.006{col 63}{space 4} .0115969{col 76}{space 3} .0674936
{txt}{space 13}majority {c |}{col 23}{res}{space 2} .0247919{col 35}{space 2}  .132992{col 46}{space 1}    0.19{col 55}{space 3}0.852{col 63}{space 4}-.2358675{col 76}{space 3} .2854513
{txt}{space 10}comsubchair {c |}{col 23}{res}{space 2} .0665842{col 35}{space 2} .1486539{col 46}{space 1}    0.45{col 55}{space 3}0.654{col 63}{space 4} -.224772{col 76}{space 3} .3579404
{txt}{space 16}power {c |}{col 23}{res}{space 2}-.3329859{col 35}{space 2} .1286123{col 46}{space 1}   -2.59{col 55}{space 3}0.010{col 63}{space 4}-.5850614{col 76}{space 3}-.0809104
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.4479371{col 35}{space 2} .2904916{col 46}{space 1}   -1.54{col 55}{space 3}0.123{col 63}{space 4} -1.01729{col 76}{space 3} .1214159
{txt}{space 11}pripct_lag {c |}{col 23}{res}{space 2}-1.587473{col 35}{space 2} .2587437{col 46}{space 1}   -6.14{col 55}{space 3}0.000{col 63}{space 4}-2.094601{col 76}{space 3}-1.080345
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2} .0359486{col 35}{space 2} .0044315{col 46}{space 1}    8.11{col 55}{space 3}0.000{col 63}{space 4}  .027263{col 76}{space 3} .0446343
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2}-.6309235{col 35}{space 2} .1655822{col 46}{space 1}   -3.81{col 55}{space 3}0.000{col 63}{space 4}-.9554588{col 76}{space 3}-.3063883
{txt}{space 15}gender {c |}{col 23}{res}{space 2}-.0494679{col 35}{space 2} .1778868{col 46}{space 1}   -0.28{col 55}{space 3}0.781{col 63}{space 4}-.3981198{col 76}{space 3} .2991839
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2}-.0124458{col 35}{space 2} .1424443{col 46}{space 1}   -0.09{col 55}{space 3}0.930{col 63}{space 4}-.2916316{col 76}{space 3} .2667399
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .0589563{col 35}{space 2} .3128156{col 46}{space 1}    0.19{col 55}{space 3}0.851{col 63}{space 4} -.554151{col 76}{space 3} .6720637
{txt}{space 16}1984  {c |}{col 23}{res}{space 2}-.1539221{col 35}{space 2}  .383364{col 46}{space 1}   -0.40{col 55}{space 3}0.688{col 63}{space 4}-.9053017{col 76}{space 3} .5974575
{txt}{space 16}1986  {c |}{col 23}{res}{space 2} -.429663{col 35}{space 2}  .348783{col 46}{space 1}   -1.23{col 55}{space 3}0.218{col 63}{space 4}-1.113265{col 76}{space 3} .2539391
{txt}{space 16}1988  {c |}{col 23}{res}{space 2}-.4944205{col 35}{space 2} .3623375{col 46}{space 1}   -1.36{col 55}{space 3}0.172{col 63}{space 4}-1.204589{col 76}{space 3} .2157479
{txt}{space 16}1990  {c |}{col 23}{res}{space 2}-.0637524{col 35}{space 2} .3408878{col 46}{space 1}   -0.19{col 55}{space 3}0.852{col 63}{space 4}-.7318803{col 76}{space 3} .6043755
{txt}{space 16}1992  {c |}{col 23}{res}{space 2} .8797594{col 35}{space 2} .2891628{col 46}{space 1}    3.04{col 55}{space 3}0.002{col 63}{space 4} .3130107{col 76}{space 3} 1.446508
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .0906349{col 35}{space 2} .3206988{col 46}{space 1}    0.28{col 55}{space 3}0.777{col 63}{space 4}-.5379231{col 76}{space 3}  .719193
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .0935908{col 35}{space 2} .4102271{col 46}{space 1}    0.23{col 55}{space 3}0.820{col 63}{space 4}-.7104395{col 76}{space 3} .8976211
{txt}{space 16}1998  {c |}{col 23}{res}{space 2}-.7073991{col 35}{space 2} .3924114{col 46}{space 1}   -1.80{col 55}{space 3}0.071{col 63}{space 4}-1.476511{col 76}{space 3} .0617132
{txt}{space 16}2000  {c |}{col 23}{res}{space 2}-.5147125{col 35}{space 2} .3764512{col 46}{space 1}   -1.37{col 55}{space 3}0.172{col 63}{space 4}-1.252543{col 76}{space 3} .2231183
{txt}{space 16}2002  {c |}{col 23}{res}{space 2} .0978497{col 35}{space 2} .3506087{col 46}{space 1}    0.28{col 55}{space 3}0.780{col 63}{space 4}-.5893308{col 76}{space 3} .7850302
{txt}{space 16}2004  {c |}{col 23}{res}{space 2}  .200322{col 35}{space 2} .3335176{col 46}{space 1}    0.60{col 55}{space 3}0.548{col 63}{space 4}-.4533604{col 76}{space 3} .8540045
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .1936824{col 35}{space 2} .3451899{col 46}{space 1}    0.56{col 55}{space 3}0.575{col 63}{space 4}-.4828772{col 76}{space 3} .8702421
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .5685125{col 35}{space 2} .3260747{col 46}{space 1}    1.74{col 55}{space 3}0.081{col 63}{space 4}-.0705822{col 76}{space 3} 1.207607
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .5753626{col 35}{space 2} .3052159{col 46}{space 1}    1.89{col 55}{space 3}0.059{col 63}{space 4}-.0228497{col 76}{space 3} 1.173575
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .6463329{col 35}{space 2}  .298144{col 46}{space 1}    2.17{col 55}{space 3}0.030{col 63}{space 4} .0619814{col 76}{space 3} 1.230684
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.2188195{col 35}{space 2} .3363887{col 46}{space 1}   -0.65{col 55}{space 3}0.515{col 63}{space 4}-.8781291{col 76}{space 3} .4404902
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .6231498{col 35}{space 2} .3011722{col 46}{space 1}    2.07{col 55}{space 3}0.039{col 63}{space 4} .0328631{col 76}{space 3} 1.213436
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-.4788082{col 35}{space 2}  .369902{col 46}{space 1}   -1.29{col 55}{space 3}0.196{col 63}{space 4}-1.203803{col 76}{space 3} .2461864
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate               {txt}{c |}
{space 16}_cons {c |}{col 23}{res}{space 2} .5597607{col 35}{space 2} .2032125{col 46}{space 1}    2.75{col 55}{space 3}0.006{col 63}{space 4} .1614716{col 76}{space 3} .9580499
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A3.3: 
. zip sumqualchall expectation seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1449.1011}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1372.0087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1366.2988}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1360.483}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1359.7056}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1359.704}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1296.8339}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1294.5944}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1293.6446}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1293.5766}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1293.5755}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1293.5755}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     1,894

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}    151.25
{txt}Log pseudolikelihood = {res}-1293.575                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1330159{col 31}{space 2} .0660636{col 42}{space 1}   -2.01{col 51}{space 3}0.044{col 59}{space 4}-.2624981{col 72}{space 3}-.0035337
{txt}{space 8}seniority {c |}{col 19}{res}{space 2}  .031206{col 31}{space 2} .0136892{col 42}{space 1}    2.28{col 51}{space 3}0.023{col 59}{space 4} .0043757{col 72}{space 3} .0580363
{txt}{space 9}majority {c |}{col 19}{res}{space 2}  .021438{col 31}{space 2} .1272182{col 42}{space 1}    0.17{col 51}{space 3}0.866{col 59}{space 4}-.2279051{col 72}{space 3} .2707811
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.2041114{col 31}{space 2} .1444532{col 42}{space 1}   -1.41{col 51}{space 3}0.158{col 59}{space 4}-.4872344{col 72}{space 3} .0790116
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.3123052{col 31}{space 2} .1213524{col 42}{space 1}   -2.57{col 51}{space 3}0.010{col 59}{space 4}-.5501515{col 72}{space 3} -.074459
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.6158179{col 31}{space 2} .3039439{col 42}{space 1}   -2.03{col 51}{space 3}0.043{col 59}{space 4}-1.211537{col 72}{space 3}-.0200987
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.5524247{col 31}{space 2} .2502782{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-1.042961{col 72}{space 3}-.0618885
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0218052{col 31}{space 2} .0040736{col 42}{space 1}    5.35{col 51}{space 3}0.000{col 59}{space 4} .0138211{col 72}{space 3} .0297894
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.4242387{col 31}{space 2} .1659736{col 42}{space 1}   -2.56{col 51}{space 3}0.011{col 59}{space 4}-.7495409{col 72}{space 3}-.0989365
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.1084236{col 31}{space 2} .1607921{col 42}{space 1}   -0.67{col 51}{space 3}0.500{col 59}{space 4}-.4235704{col 72}{space 3} .2067231
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1381732{col 31}{space 2} .1366123{col 42}{space 1}   -1.01{col 51}{space 3}0.312{col 59}{space 4}-.4059285{col 72}{space 3} .1295821
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0450374{col 31}{space 2} .2970895{col 42}{space 1}    0.15{col 51}{space 3}0.880{col 59}{space 4}-.5372472{col 72}{space 3} .6273221
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.3383957{col 31}{space 2} .3683511{col 42}{space 1}   -0.92{col 51}{space 3}0.358{col 59}{space 4}-1.060351{col 72}{space 3} .3835593
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.5419086{col 31}{space 2} .3342172{col 42}{space 1}   -1.62{col 51}{space 3}0.105{col 59}{space 4}-1.196962{col 72}{space 3}  .113145
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.2315356{col 31}{space 2} .3487184{col 42}{space 1}   -0.66{col 51}{space 3}0.507{col 59}{space 4}-.9150112{col 72}{space 3} .4519399
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .0537685{col 31}{space 2} .3164487{col 42}{space 1}    0.17{col 51}{space 3}0.865{col 59}{space 4}-.5664596{col 72}{space 3} .6739967
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .6254316{col 31}{space 2} .2708663{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .0945434{col 72}{space 3}  1.15632
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .1416108{col 31}{space 2} .3046615{col 42}{space 1}    0.46{col 51}{space 3}0.642{col 59}{space 4}-.4555148{col 72}{space 3} .7387363
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .1511612{col 31}{space 2} .3768452{col 42}{space 1}    0.40{col 51}{space 3}0.688{col 59}{space 4}-.5874419{col 72}{space 3} .8897643
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.3270035{col 31}{space 2} .3754951{col 42}{space 1}   -0.87{col 51}{space 3}0.384{col 59}{space 4} -1.06296{col 72}{space 3} .4089534
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1896054{col 31}{space 2} .3568948{col 42}{space 1}   -0.53{col 51}{space 3}0.595{col 59}{space 4}-.8891063{col 72}{space 3} .5098954
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .2244723{col 31}{space 2} .3296606{col 42}{space 1}    0.68{col 51}{space 3}0.496{col 59}{space 4}-.4216506{col 72}{space 3} .8705952
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .3540784{col 31}{space 2} .3136545{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4} -.260673{col 72}{space 3} .9688299
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .3382795{col 31}{space 2} .3289876{col 42}{space 1}    1.03{col 51}{space 3}0.304{col 59}{space 4}-.3065243{col 72}{space 3} .9830833
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .6515222{col 31}{space 2}  .304858{col 42}{space 1}    2.14{col 51}{space 3}0.033{col 59}{space 4} .0540114{col 72}{space 3} 1.249033
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}  .335314{col 31}{space 2}  .287474{col 42}{space 1}    1.17{col 51}{space 3}0.243{col 59}{space 4}-.2281246{col 72}{space 3} .8987527
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .2432703{col 31}{space 2} .2774913{col 42}{space 1}    0.88{col 51}{space 3}0.381{col 59}{space 4}-.3006026{col 72}{space 3} .7871432
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.5065448{col 31}{space 2} .3337532{col 42}{space 1}   -1.52{col 51}{space 3}0.129{col 59}{space 4}-1.160689{col 72}{space 3} .1475995
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .1783613{col 31}{space 2} .2889923{col 42}{space 1}    0.62{col 51}{space 3}0.537{col 59}{space 4}-.3880533{col 72}{space 3} .7447759
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.7016789{col 31}{space 2} .3970611{col 42}{space 1}   -1.77{col 51}{space 3}0.077{col 59}{space 4}-1.479904{col 72}{space 3} .0765466
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-1.238254{col 31}{space 2} .5142226{col 42}{space 1}   -2.41{col 51}{space 3}0.016{col 59}{space 4}-2.246112{col 72}{space 3}-.2303962
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A3.4: 
. zip sumchall15pct expectation seniority majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1361.1829}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1284.4274}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1271.503}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1265.2054}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1264.9082}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1264.7882}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1264.716}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1264.716}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1190.0434}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1179.0435}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1176.9845}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1176.9514}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1176.9513}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       433
                                                {txt}Zero obs          = {res}     1,898

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}    213.01
{txt}Log pseudolikelihood = {res}-1176.951                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    sumchall15pct{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumchall15pct     {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1836251{col 31}{space 2} .0627898{col 42}{space 1}   -2.92{col 51}{space 3}0.003{col 59}{space 4}-.3066908{col 72}{space 3}-.0605594
{txt}{space 8}seniority {c |}{col 19}{res}{space 2} .0423511{col 31}{space 2} .0128538{col 42}{space 1}    3.29{col 51}{space 3}0.001{col 59}{space 4} .0171582{col 72}{space 3}  .067544
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0027633{col 31}{space 2}  .123194{col 42}{space 1}    0.02{col 51}{space 3}0.982{col 59}{space 4}-.2386924{col 72}{space 3} .2442191
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.3019862{col 31}{space 2}  .141203{col 42}{space 1}   -2.14{col 51}{space 3}0.032{col 59}{space 4} -.578739{col 72}{space 3}-.0252334
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.5489132{col 31}{space 2} .1401388{col 42}{space 1}   -3.92{col 51}{space 3}0.000{col 59}{space 4}-.8235802{col 72}{space 3}-.2742463
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-1.751682{col 31}{space 2} .5236018{col 42}{space 1}   -3.35{col 51}{space 3}0.001{col 59}{space 4}-2.777923{col 72}{space 3}-.7254417
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.051865{col 31}{space 2} .2307013{col 42}{space 1}   -4.56{col 51}{space 3}0.000{col 59}{space 4}-1.504031{col 72}{space 3}-.5996983
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0223065{col 31}{space 2} .0035067{col 42}{space 1}    6.36{col 51}{space 3}0.000{col 59}{space 4} .0154335{col 72}{space 3} .0291796
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.1487779{col 31}{space 2} .1485045{col 42}{space 1}   -1.00{col 51}{space 3}0.316{col 59}{space 4}-.4398414{col 72}{space 3} .1422856
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.2646734{col 31}{space 2} .1585021{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-.5753319{col 72}{space 3}  .045985
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} -.147487{col 31}{space 2} .1348378{col 42}{space 1}   -1.09{col 51}{space 3}0.274{col 59}{space 4}-.4117643{col 72}{space 3} .1167902
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2}-.2117043{col 31}{space 2} .2276824{col 42}{space 1}   -0.93{col 51}{space 3}0.352{col 59}{space 4}-.6579536{col 72}{space 3} .2345451
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.4708455{col 31}{space 2} .2058714{col 42}{space 1}   -2.29{col 51}{space 3}0.022{col 59}{space 4} -.874346{col 72}{space 3}-.0673451
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}  -.85646{col 31}{space 2}  .271689{col 42}{space 1}   -3.15{col 51}{space 3}0.002{col 59}{space 4}-1.388961{col 72}{space 3}-.3239593
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.6996388{col 31}{space 2} .3004898{col 42}{space 1}   -2.33{col 51}{space 3}0.020{col 59}{space 4}-1.288588{col 72}{space 3}-.1106896
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} -.633072{col 31}{space 2} .2628018{col 42}{space 1}   -2.41{col 51}{space 3}0.016{col 59}{space 4}-1.148154{col 72}{space 3}  -.11799
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.1435807{col 31}{space 2} .2103697{col 42}{space 1}   -0.68{col 51}{space 3}0.495{col 59}{space 4}-.5558977{col 72}{space 3} .2687364
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}-.5562687{col 31}{space 2} .2273163{col 42}{space 1}   -2.45{col 51}{space 3}0.014{col 59}{space 4}  -1.0018{col 72}{space 3}-.1107369
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} -.403732{col 31}{space 2} .2535911{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4}-.9007615{col 72}{space 3} .0932975
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.7269186{col 31}{space 2} .3432182{col 42}{space 1}   -2.12{col 51}{space 3}0.034{col 59}{space 4}-1.399614{col 72}{space 3}-.0542232
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.5591365{col 31}{space 2} .2840558{col 42}{space 1}   -1.97{col 51}{space 3}0.049{col 59}{space 4}-1.115876{col 72}{space 3}-.0023973
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.4859718{col 31}{space 2} .2807571{col 42}{space 1}   -1.73{col 51}{space 3}0.083{col 59}{space 4}-1.036246{col 72}{space 3} .0643019
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.7365717{col 31}{space 2} .2891702{col 42}{space 1}   -2.55{col 51}{space 3}0.011{col 59}{space 4}-1.303335{col 72}{space 3}-.1698086
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}-.2318004{col 31}{space 2} .2600977{col 42}{space 1}   -0.89{col 51}{space 3}0.373{col 59}{space 4}-.7415824{col 72}{space 3} .2779816
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.1864011{col 31}{space 2} .2391925{col 42}{space 1}   -0.78{col 51}{space 3}0.436{col 59}{space 4}-.6552097{col 72}{space 3} .2824075
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}   -.5766{col 31}{space 2} .2671171{col 42}{space 1}   -2.16{col 51}{space 3}0.031{col 59}{space 4} -1.10014{col 72}{space 3}  -.05306
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.7295987{col 31}{space 2} .2390919{col 42}{space 1}   -3.05{col 51}{space 3}0.002{col 59}{space 4} -1.19821{col 72}{space 3}-.2609872
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.8237863{col 31}{space 2} .2678744{col 42}{space 1}   -3.08{col 51}{space 3}0.002{col 59}{space 4}-1.348811{col 72}{space 3}-.2987621
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.7683911{col 31}{space 2} .2446257{col 42}{space 1}   -3.14{col 51}{space 3}0.002{col 59}{space 4}-1.247849{col 72}{space 3}-.2889335
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.0571098{col 31}{space 2} .2516252{col 42}{space 1}   -0.23{col 51}{space 3}0.820{col 59}{space 4} -.550286{col 72}{space 3} .4360665
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-31.90572{col 31}{space 2} .3866684{col 42}{space 1}  -82.51{col 51}{space 3}0.000{col 59}{space 4}-32.66358{col 72}{space 3}-31.14787
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A4
. * MODEL A4.1: 
. zip sumqualchall expectation seniority sensq majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1797.4825}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1781.2592}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1758.9393}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1758.1347}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1758.1344}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1758.1344}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}30{txt})     = {res}    403.51
{txt}Log pseudolikelihood = {res}-1758.134                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1853744{col 31}{space 2} .0738586{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-.3301346{col 72}{space 3}-.0406142
{txt}{space 8}seniority {c |}{col 19}{res}{space 2} .0490445{col 31}{space 2} .0434032{col 42}{space 1}    1.13{col 51}{space 3}0.258{col 59}{space 4}-.0360243{col 72}{space 3} .1341132
{txt}{space 12}sensq {c |}{col 19}{res}{space 2}-.0005224{col 31}{space 2} .0019342{col 42}{space 1}   -0.27{col 51}{space 3}0.787{col 59}{space 4}-.0043134{col 72}{space 3} .0032686
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0225322{col 31}{space 2} .1352124{col 42}{space 1}    0.17{col 51}{space 3}0.868{col 59}{space 4}-.2424793{col 72}{space 3} .2875437
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2} .0419441{col 31}{space 2} .1546578{col 42}{space 1}    0.27{col 51}{space 3}0.786{col 59}{space 4}-.2611796{col 72}{space 3} .3450679
{txt}{space 12}power {c |}{col 19}{res}{space 2}  -.33969{col 31}{space 2}  .128644{col 42}{space 1}   -2.64{col 51}{space 3}0.008{col 59}{space 4}-.5918277{col 72}{space 3}-.0875524
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.4571897{col 31}{space 2} .2920056{col 42}{space 1}   -1.57{col 51}{space 3}0.117{col 59}{space 4} -1.02951{col 72}{space 3} .1151307
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.587477{col 31}{space 2} .2970621{col 42}{space 1}   -5.34{col 51}{space 3}0.000{col 59}{space 4}-2.169708{col 72}{space 3}-1.005246
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}  .036178{col 31}{space 2} .0044195{col 42}{space 1}    8.19{col 51}{space 3}0.000{col 59}{space 4} .0275159{col 72}{space 3} .0448401
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.6231027{col 31}{space 2} .1664343{col 42}{space 1}   -3.74{col 51}{space 3}0.000{col 59}{space 4} -.949308{col 72}{space 3}-.2968975
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0654549{col 31}{space 2} .1781195{col 42}{space 1}   -0.37{col 51}{space 3}0.713{col 59}{space 4}-.4145627{col 72}{space 3} .2836528
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0134514{col 31}{space 2} .1421061{col 42}{space 1}   -0.09{col 51}{space 3}0.925{col 59}{space 4}-.2919742{col 72}{space 3} .2650715
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0407218{col 31}{space 2}  .314494{col 42}{space 1}    0.13{col 51}{space 3}0.897{col 59}{space 4} -.575675{col 72}{space 3} .6571187
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.1626895{col 31}{space 2} .3840069{col 42}{space 1}   -0.42{col 51}{space 3}0.672{col 59}{space 4}-.9153291{col 72}{space 3} .5899501
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.4481275{col 31}{space 2} .3494875{col 42}{space 1}   -1.28{col 51}{space 3}0.200{col 59}{space 4}-1.133111{col 72}{space 3} .2368555
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.5016293{col 31}{space 2} .3640996{col 42}{space 1}   -1.38{col 51}{space 3}0.168{col 59}{space 4}-1.215251{col 72}{space 3} .2119929
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.0733354{col 31}{space 2} .3422723{col 42}{space 1}   -0.21{col 51}{space 3}0.830{col 59}{space 4}-.7441768{col 72}{space 3} .5975059
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .8513308{col 31}{space 2} .2923755{col 42}{space 1}    2.91{col 51}{space 3}0.004{col 59}{space 4} .2782853{col 72}{space 3} 1.424376
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .0812223{col 31}{space 2} .3216232{col 42}{space 1}    0.25{col 51}{space 3}0.801{col 59}{space 4}-.5491475{col 72}{space 3} .7115921
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .0902868{col 31}{space 2} .4121108{col 42}{space 1}    0.22{col 51}{space 3}0.827{col 59}{space 4}-.7174355{col 72}{space 3} .8980091
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.7096273{col 31}{space 2} .3930017{col 42}{space 1}   -1.81{col 51}{space 3}0.071{col 59}{space 4}-1.479896{col 72}{space 3} .0606419
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.5343188{col 31}{space 2}  .377281{col 42}{space 1}   -1.42{col 51}{space 3}0.157{col 59}{space 4}-1.273776{col 72}{space 3} .2051385
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .0762333{col 31}{space 2} .3488478{col 42}{space 1}    0.22{col 51}{space 3}0.827{col 59}{space 4}-.6074958{col 72}{space 3} .7599624
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .1807295{col 31}{space 2} .3345294{col 42}{space 1}    0.54{col 51}{space 3}0.589{col 59}{space 4} -.474936{col 72}{space 3} .8363951
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .1684519{col 31}{space 2} .3442508{col 42}{space 1}    0.49{col 51}{space 3}0.625{col 59}{space 4}-.5062673{col 72}{space 3} .8431711
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .5313656{col 31}{space 2} .3232781{col 42}{space 1}    1.64{col 51}{space 3}0.100{col 59}{space 4}-.1022478{col 72}{space 3} 1.164979
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .5688523{col 31}{space 2}  .305725{col 42}{space 1}    1.86{col 51}{space 3}0.063{col 59}{space 4}-.0303577{col 72}{space 3} 1.168062
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .6367261{col 31}{space 2} .2995267{col 42}{space 1}    2.13{col 51}{space 3}0.034{col 59}{space 4} .0496646{col 72}{space 3} 1.223788
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.2371747{col 31}{space 2} .3374319{col 42}{space 1}   -0.70{col 51}{space 3}0.482{col 59}{space 4}-.8985291{col 72}{space 3} .4241797
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .5996537{col 31}{space 2} .3012421{col 42}{space 1}    1.99{col 51}{space 3}0.047{col 59}{space 4} .0092301{col 72}{space 3} 1.190077
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.3512574{col 31}{space 2} .3983574{col 42}{space 1}   -0.88{col 51}{space 3}0.378{col 59}{space 4}-1.132023{col 72}{space 3} .4295088
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .5545627{col 31}{space 2} .2035501{col 42}{space 1}    2.72{col 51}{space 3}0.006{col 59}{space 4} .1556118{col 72}{space 3} .9535135
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A4.2:
. zip sumqualchall expectation c.seniority##termlimit majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender i.yearDT, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2027.7029}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1931.6938}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1909.0364}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1899.1798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1898.5434}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1898.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1898.5428}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1796.695}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1781.0542}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1758.9533}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1758.1838}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1758.1819}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1758.1819}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     7,456
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     7,019

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}30{txt})     = {res}    402.87
{txt}Log pseudolikelihood = {res}-1758.182                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 96:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                  sumqualchall{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall                   {txt}{c |}
{space 19}expectation {c |}{col 32}{res}{space 2}-.1872135{col 44}{space 2} .0734322{col 55}{space 1}   -2.55{col 64}{space 3}0.011{col 72}{space 4}-.3311379{col 85}{space 3}-.0432891
{txt}{space 21}seniority {c |}{col 32}{res}{space 2} .0392183{col 44}{space 2} .0171712{col 55}{space 1}    2.28{col 64}{space 3}0.022{col 72}{space 4} .0055634{col 85}{space 3} .0728732
{txt}{space 30} {c |}
{space 21}termlimit {c |}
State Legislative Term Limits  {c |}{col 32}{res}{space 2}-.0036769{col 44}{space 2} .1994518{col 55}{space 1}   -0.02{col 64}{space 3}0.985{col 72}{space 4}-.3945952{col 85}{space 3} .3872415
{txt}{space 30} {c |}
{space 9}termlimit#c.seniority {c |}
State Legislative Term Limits  {c |}{col 32}{res}{space 2}-.0019737{col 44}{space 2} .0238523{col 55}{space 1}   -0.08{col 64}{space 3}0.934{col 72}{space 4}-.0487234{col 85}{space 3} .0447759
{txt}{space 30} {c |}
{space 22}majority {c |}{col 32}{res}{space 2} .0167119{col 44}{space 2} .1333087{col 55}{space 1}    0.13{col 64}{space 3}0.900{col 72}{space 4}-.2445684{col 85}{space 3} .2779922
{txt}{space 19}comsubchair {c |}{col 32}{res}{space 2} .0545948{col 44}{space 2} .1506096{col 55}{space 1}    0.36{col 64}{space 3}0.717{col 72}{space 4}-.2405946{col 85}{space 3} .3497842
{txt}{space 25}power {c |}{col 32}{res}{space 2}-.3353717{col 44}{space 2} .1288325{col 55}{space 1}   -2.60{col 64}{space 3}0.009{col 72}{space 4}-.5878788{col 85}{space 3}-.0828647
{txt}{space 21}allleader {c |}{col 32}{res}{space 2}-.4476516{col 44}{space 2} .2902644{col 55}{space 1}   -1.54{col 64}{space 3}0.123{col 72}{space 4}-1.016559{col 85}{space 3} .1212561
{txt}{space 20}pripct_lag {c |}{col 32}{res}{space 2} -1.56289{col 44}{space 2} .2588047{col 55}{space 1}   -6.04{col 64}{space 3}0.000{col 72}{space 4}-2.070138{col 85}{space 3}-1.055642
{txt}{space 17}incumptyadvan {c |}{col 32}{res}{space 2} .0361467{col 44}{space 2} .0044289{col 55}{space 1}    8.16{col 64}{space 3}0.000{col 72}{space 4} .0274662{col 85}{space 3} .0448273
{txt}{space 13}cfscore_ideologue {c |}{col 32}{res}{space 2}-.6283652{col 44}{space 2} .1664798{col 55}{space 1}   -3.77{col 64}{space 3}0.000{col 72}{space 4}-.9546597{col 85}{space 3}-.3020707
{txt}{space 24}gender {c |}{col 32}{res}{space 2}-.0623751{col 44}{space 2} .1780639{col 55}{space 1}   -0.35{col 64}{space 3}0.726{col 72}{space 4}-.4113739{col 85}{space 3} .2866237
{txt}{space 30} {c |}
{space 24}yearDT {c |}
{space 25}1982  {c |}{col 32}{res}{space 2} .0400754{col 44}{space 2} .3139795{col 55}{space 1}    0.13{col 64}{space 3}0.898{col 72}{space 4}-.5753132{col 85}{space 3}  .655464
{txt}{space 25}1984  {c |}{col 32}{res}{space 2}-.1617771{col 44}{space 2} .3842329{col 55}{space 1}   -0.42{col 64}{space 3}0.674{col 72}{space 4}-.9148598{col 85}{space 3} .5913056
{txt}{space 25}1986  {c |}{col 32}{res}{space 2}-.4484849{col 44}{space 2} .3488808{col 55}{space 1}   -1.29{col 64}{space 3}0.199{col 72}{space 4}-1.132279{col 85}{space 3} .2353089
{txt}{space 25}1988  {c |}{col 32}{res}{space 2}-.4991079{col 44}{space 2}  .364569{col 55}{space 1}   -1.37{col 64}{space 3}0.171{col 72}{space 4} -1.21365{col 85}{space 3} .2154342
{txt}{space 25}1990  {c |}{col 32}{res}{space 2}-.0698974{col 44}{space 2} .3426844{col 55}{space 1}   -0.20{col 64}{space 3}0.838{col 72}{space 4}-.7415464{col 85}{space 3} .6017517
{txt}{space 25}1992  {c |}{col 32}{res}{space 2} .8571609{col 44}{space 2} .2920659{col 55}{space 1}    2.93{col 64}{space 3}0.003{col 72}{space 4} .2847222{col 85}{space 3}   1.4296
{txt}{space 25}1994  {c |}{col 32}{res}{space 2} .0836005{col 44}{space 2} .3201245{col 55}{space 1}    0.26{col 64}{space 3}0.794{col 72}{space 4}-.5438321{col 85}{space 3}  .711033
{txt}{space 25}1996  {c |}{col 32}{res}{space 2} .0918989{col 44}{space 2}  .410483{col 55}{space 1}    0.22{col 64}{space 3}0.823{col 72}{space 4}-.7126331{col 85}{space 3} .8964309
{txt}{space 25}1998  {c |}{col 32}{res}{space 2}-.7071322{col 44}{space 2} .3925888{col 55}{space 1}   -1.80{col 64}{space 3}0.072{col 72}{space 4}-1.476592{col 85}{space 3} .0623277
{txt}{space 25}2000  {c |}{col 32}{res}{space 2}-.5301037{col 44}{space 2} .3787063{col 55}{space 1}   -1.40{col 64}{space 3}0.162{col 72}{space 4}-1.272354{col 85}{space 3}  .212147
{txt}{space 25}2002  {c |}{col 32}{res}{space 2} .0808025{col 44}{space 2} .3528275{col 55}{space 1}    0.23{col 64}{space 3}0.819{col 72}{space 4}-.6107267{col 85}{space 3} .7723318
{txt}{space 25}2004  {c |}{col 32}{res}{space 2} .1856022{col 44}{space 2} .3346755{col 55}{space 1}    0.55{col 64}{space 3}0.579{col 72}{space 4}-.4703497{col 85}{space 3} .8415541
{txt}{space 25}2006  {c |}{col 32}{res}{space 2}  .174365{col 44}{space 2}  .346859{col 55}{space 1}    0.50{col 64}{space 3}0.615{col 72}{space 4} -.505466{col 85}{space 3} .8541961
{txt}{space 25}2008  {c |}{col 32}{res}{space 2} .5386138{col 44}{space 2} .3264756{col 55}{space 1}    1.65{col 64}{space 3}0.099{col 72}{space 4}-.1012666{col 85}{space 3} 1.178494
{txt}{space 25}2010  {c |}{col 32}{res}{space 2} .5737204{col 44}{space 2}  .307139{col 55}{space 1}    1.87{col 64}{space 3}0.062{col 72}{space 4}-.0282609{col 85}{space 3} 1.175702
{txt}{space 25}2012  {c |}{col 32}{res}{space 2} .6390349{col 44}{space 2} .3015886{col 55}{space 1}    2.12{col 64}{space 3}0.034{col 72}{space 4} .0479321{col 85}{space 3} 1.230138
{txt}{space 25}2014  {c |}{col 32}{res}{space 2}-.2356078{col 44}{space 2} .3362327{col 55}{space 1}   -0.70{col 64}{space 3}0.483{col 72}{space 4}-.8946118{col 85}{space 3} .4233963
{txt}{space 25}2016  {c |}{col 32}{res}{space 2} .6045844{col 44}{space 2} .3028367{col 55}{space 1}    2.00{col 64}{space 3}0.046{col 72}{space 4} .0110353{col 85}{space 3} 1.198134
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}-.3426329{col 44}{space 2} .3974944{col 55}{space 1}   -0.86{col 64}{space 3}0.389{col 72}{space 4}-1.121708{col 85}{space 3} .4364419
{txt}{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate                        {txt}{c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5531394{col 44}{space 2} .2051382{col 55}{space 1}    2.70{col 64}{space 3}0.007{col 72}{space 4} .1510759{col 85}{space 3} .9552029
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A4.3:
. zip sumqualchall expectation seniority sensq majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1449.1011}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1372.0087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1366.2988}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1360.483}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1359.7056}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1359.704}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1296.7628}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1293.2021}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1292.4485}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1292.4033}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1292.4027}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1292.4027}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     1,894

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}30{txt})     = {res}    157.78
{txt}Log pseudolikelihood = {res}-1292.403                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1415316{col 31}{space 2} .0659547{col 42}{space 1}   -2.15{col 51}{space 3}0.032{col 59}{space 4}-.2708005{col 72}{space 3}-.0122627
{txt}{space 8}seniority {c |}{col 19}{res}{space 2}-.0164619{col 31}{space 2} .0416889{col 42}{space 1}   -0.39{col 51}{space 3}0.693{col 59}{space 4}-.0981705{col 72}{space 3} .0652468
{txt}{space 12}sensq {c |}{col 19}{res}{space 2} .0024105{col 31}{space 2} .0019334{col 42}{space 1}    1.25{col 51}{space 3}0.212{col 59}{space 4}-.0013788{col 72}{space 3} .0061998
{txt}{space 9}majority {c |}{col 19}{res}{space 2}-.0131148{col 31}{space 2} .1311372{col 42}{space 1}   -0.10{col 51}{space 3}0.920{col 59}{space 4}-.2701391{col 72}{space 3} .2439094
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.1389861{col 31}{space 2} .1498983{col 42}{space 1}   -0.93{col 51}{space 3}0.354{col 59}{space 4}-.4327814{col 72}{space 3} .1548092
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.2862258{col 31}{space 2} .1202802{col 42}{space 1}   -2.38{col 51}{space 3}0.017{col 59}{space 4}-.5219707{col 72}{space 3} -.050481
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.5687345{col 31}{space 2} .3020387{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4} -1.16072{col 72}{space 3} .0232505
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.4557982{col 31}{space 2}  .282804{col 42}{space 1}   -1.61{col 51}{space 3}0.107{col 59}{space 4}-1.010084{col 72}{space 3} .0984874
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0216828{col 31}{space 2} .0040034{col 42}{space 1}    5.42{col 51}{space 3}0.000{col 59}{space 4} .0138362{col 72}{space 3} .0295293
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} -.446048{col 31}{space 2} .1645437{col 42}{space 1}   -2.71{col 51}{space 3}0.007{col 59}{space 4}-.7685476{col 72}{space 3}-.1235483
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0974029{col 31}{space 2} .1605125{col 42}{space 1}   -0.61{col 51}{space 3}0.544{col 59}{space 4}-.4120016{col 72}{space 3} .2171957
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1460989{col 31}{space 2} .1365734{col 42}{space 1}   -1.07{col 51}{space 3}0.285{col 59}{space 4}-.4137779{col 72}{space 3} .1215801
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0424154{col 31}{space 2} .2961449{col 42}{space 1}    0.14{col 51}{space 3}0.886{col 59}{space 4}-.5380179{col 72}{space 3} .6228487
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.3388788{col 31}{space 2} .3683487{col 42}{space 1}   -0.92{col 51}{space 3}0.358{col 59}{space 4}-1.060829{col 72}{space 3} .3830715
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.5398639{col 31}{space 2} .3313497{col 42}{space 1}   -1.63{col 51}{space 3}0.103{col 59}{space 4}-1.189297{col 72}{space 3} .1095697
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} -.222946{col 31}{space 2} .3471183{col 42}{space 1}   -0.64{col 51}{space 3}0.521{col 59}{space 4}-.9032854{col 72}{space 3} .4573934
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .0744624{col 31}{space 2} .3139402{col 42}{space 1}    0.24{col 51}{space 3}0.813{col 59}{space 4}-.5408491{col 72}{space 3} .6897739
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .6495207{col 31}{space 2} .2689441{col 42}{space 1}    2.42{col 51}{space 3}0.016{col 59}{space 4}    .1224{col 72}{space 3} 1.176641
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .1589964{col 31}{space 2} .3024571{col 42}{space 1}    0.53{col 51}{space 3}0.599{col 59}{space 4}-.4338086{col 72}{space 3} .7518015
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .1625238{col 31}{space 2} .3749254{col 42}{space 1}    0.43{col 51}{space 3}0.665{col 59}{space 4}-.5723164{col 72}{space 3}  .897364
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.3117787{col 31}{space 2} .3728541{col 42}{space 1}   -0.84{col 51}{space 3}0.403{col 59}{space 4}-1.042559{col 72}{space 3} .4190018
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1620977{col 31}{space 2} .3528554{col 42}{space 1}   -0.46{col 51}{space 3}0.646{col 59}{space 4}-.8536815{col 72}{space 3} .5294862
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}   .25168{col 31}{space 2}  .324999{col 42}{space 1}    0.77{col 51}{space 3}0.439{col 59}{space 4}-.3853064{col 72}{space 3} .8886664
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .3805162{col 31}{space 2} .3101878{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-.2274406{col 72}{space 3} .9884731
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .3730775{col 31}{space 2} .3235103{col 42}{space 1}    1.15{col 51}{space 3}0.249{col 59}{space 4} -.260991{col 72}{space 3} 1.007146
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}  .688322{col 31}{space 2} .2982016{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .1038577{col 72}{space 3} 1.272786
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .3567901{col 31}{space 2} .2832736{col 42}{space 1}    1.26{col 51}{space 3}0.208{col 59}{space 4}-.1984159{col 72}{space 3} .9119962
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .2582393{col 31}{space 2} .2780238{col 42}{space 1}    0.93{col 51}{space 3}0.353{col 59}{space 4}-.2866774{col 72}{space 3} .8031561
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.4854992{col 31}{space 2}  .329746{col 42}{space 1}   -1.47{col 51}{space 3}0.141{col 59}{space 4} -1.13179{col 72}{space 3} .1607911
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .2033385{col 31}{space 2} .2873523{col 42}{space 1}    0.71{col 51}{space 3}0.479{col 59}{space 4}-.3598616{col 72}{space 3} .7665386
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.6305512{col 31}{space 2} .3961165{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4}-1.406925{col 72}{space 3} .1458228
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-1.238889{col 31}{space 2} .5066896{col 42}{space 1}   -2.45{col 51}{space 3}0.014{col 59}{space 4}-2.231982{col 72}{space 3}-.2457954
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A4.4: 
. zip sumqualchall expectation c.seniority##termlimit majority comsubchair power allleader pripct_lag incumptyadvan cfscore_ideologue gender i.yearDT if priuo!=1, cluster(bonicaridDT)inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1449.1011}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1372.0087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1366.2988}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1360.483}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1359.7056}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1359.704}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1359.704}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1296.7782}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1294.6811}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1293.5995}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1293.5166}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1293.515}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1293.515}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,331
                                                {txt}Nonzero obs       = {res}       437
                                                {txt}Zero obs          = {res}     1,894

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}30{txt})     = {res}    159.26
{txt}Log pseudolikelihood = {res}-1293.515                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 96:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                  sumqualchall{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall                   {txt}{c |}
{space 19}expectation {c |}{col 32}{res}{space 2}-.1321767{col 44}{space 2} .0665924{col 55}{space 1}   -1.98{col 64}{space 3}0.047{col 72}{space 4}-.2626954{col 85}{space 3} -.001658
{txt}{space 21}seniority {c |}{col 32}{res}{space 2} .0288637{col 44}{space 2} .0140869{col 55}{space 1}    2.05{col 64}{space 3}0.040{col 72}{space 4} .0012538{col 85}{space 3} .0564736
{txt}{space 30} {c |}
{space 21}termlimit {c |}
State Legislative Term Limits  {c |}{col 32}{res}{space 2}-.1846552{col 44}{space 2} .2009679{col 55}{space 1}   -0.92{col 64}{space 3}0.358{col 72}{space 4} -.578545{col 85}{space 3} .2092346
{txt}{space 30} {c |}
{space 9}termlimit#c.seniority {c |}
State Legislative Term Limits  {c |}{col 32}{res}{space 2} .0074925{col 44}{space 2} .0267227{col 55}{space 1}    0.28{col 64}{space 3}0.779{col 72}{space 4} -.044883{col 85}{space 3}  .059868
{txt}{space 30} {c |}
{space 22}majority {c |}{col 32}{res}{space 2} .0198676{col 44}{space 2} .1272623{col 55}{space 1}    0.16{col 64}{space 3}0.876{col 72}{space 4}-.2295619{col 85}{space 3}  .269297
{txt}{space 19}comsubchair {c |}{col 32}{res}{space 2}-.1989137{col 44}{space 2} .1424011{col 55}{space 1}   -1.40{col 64}{space 3}0.162{col 72}{space 4}-.4780148{col 85}{space 3} .0801874
{txt}{space 25}power {c |}{col 32}{res}{space 2}-.3102009{col 44}{space 2} .1201356{col 55}{space 1}   -2.58{col 64}{space 3}0.010{col 72}{space 4}-.5456623{col 85}{space 3}-.0747395
{txt}{space 21}allleader {c |}{col 32}{res}{space 2}-.6176049{col 44}{space 2} .3049659{col 55}{space 1}   -2.03{col 64}{space 3}0.043{col 72}{space 4}-1.215327{col 85}{space 3}-.0198827
{txt}{space 20}pripct_lag {c |}{col 32}{res}{space 2}-.5538684{col 44}{space 2} .2502955{col 55}{space 1}   -2.21{col 64}{space 3}0.027{col 72}{space 4}-1.044439{col 85}{space 3}-.0632982
{txt}{space 17}incumptyadvan {c |}{col 32}{res}{space 2} .0217522{col 44}{space 2} .0040277{col 55}{space 1}    5.40{col 64}{space 3}0.000{col 72}{space 4}  .013858{col 85}{space 3} .0296463
{txt}{space 13}cfscore_ideologue {c |}{col 32}{res}{space 2}-.4251997{col 44}{space 2} .1659349{col 55}{space 1}   -2.56{col 64}{space 3}0.010{col 72}{space 4}-.7504261{col 85}{space 3}-.0999734
{txt}{space 24}gender {c |}{col 32}{res}{space 2}-.1058824{col 44}{space 2} .1604532{col 55}{space 1}   -0.66{col 64}{space 3}0.509{col 72}{space 4}-.4203649{col 85}{space 3}    .2086
{txt}{space 30} {c |}
{space 24}yearDT {c |}
{space 25}1982  {c |}{col 32}{res}{space 2} .0470578{col 44}{space 2} .2963762{col 55}{space 1}    0.16{col 64}{space 3}0.874{col 72}{space 4} -.533829{col 85}{space 3} .6279446
{txt}{space 25}1984  {c |}{col 32}{res}{space 2}-.3384774{col 44}{space 2} .3682452{col 55}{space 1}   -0.92{col 64}{space 3}0.358{col 72}{space 4}-1.060225{col 85}{space 3}   .38327
{txt}{space 25}1986  {c |}{col 32}{res}{space 2}-.5395719{col 44}{space 2}  .333326{col 55}{space 1}   -1.62{col 64}{space 3}0.106{col 72}{space 4}-1.192879{col 85}{space 3} .1137351
{txt}{space 25}1988  {c |}{col 32}{res}{space 2} -.230149{col 44}{space 2} .3484575{col 55}{space 1}   -0.66{col 64}{space 3}0.509{col 72}{space 4}-.9131132{col 85}{space 3} .4528152
{txt}{space 25}1990  {c |}{col 32}{res}{space 2} .0562295{col 44}{space 2} .3161465{col 55}{space 1}    0.18{col 64}{space 3}0.859{col 72}{space 4}-.5634063{col 85}{space 3} .6758653
{txt}{space 25}1992  {c |}{col 32}{res}{space 2} .6277249{col 44}{space 2} .2704338{col 55}{space 1}    2.32{col 64}{space 3}0.020{col 72}{space 4} .0976844{col 85}{space 3} 1.157765
{txt}{space 25}1994  {c |}{col 32}{res}{space 2}  .145555{col 44}{space 2} .3026994{col 55}{space 1}    0.48{col 64}{space 3}0.631{col 72}{space 4}-.4477251{col 85}{space 3}  .738835
{txt}{space 25}1996  {c |}{col 32}{res}{space 2} .1523599{col 44}{space 2} .3768816{col 55}{space 1}    0.40{col 64}{space 3}0.686{col 72}{space 4}-.5863144{col 85}{space 3} .8910341
{txt}{space 25}1998  {c |}{col 32}{res}{space 2}-.3231598{col 44}{space 2}  .373729{col 55}{space 1}   -0.86{col 64}{space 3}0.387{col 72}{space 4}-1.055655{col 85}{space 3} .4093355
{txt}{space 25}2000  {c |}{col 32}{res}{space 2}-.1856132{col 44}{space 2}  .356052{col 55}{space 1}   -0.52{col 64}{space 3}0.602{col 72}{space 4}-.8834624{col 85}{space 3} .5122359
{txt}{space 25}2002  {c |}{col 32}{res}{space 2} .2285547{col 44}{space 2} .3296116{col 55}{space 1}    0.69{col 64}{space 3}0.488{col 72}{space 4}-.4174723{col 85}{space 3} .8745816
{txt}{space 25}2004  {c |}{col 32}{res}{space 2} .3581808{col 44}{space 2} .3126643{col 55}{space 1}    1.15{col 64}{space 3}0.252{col 72}{space 4}-.2546299{col 85}{space 3} .9709915
{txt}{space 25}2006  {c |}{col 32}{res}{space 2} .3428229{col 44}{space 2} .3280115{col 55}{space 1}    1.05{col 64}{space 3}0.296{col 72}{space 4}-.3000678{col 85}{space 3} .9857136
{txt}{space 25}2008  {c |}{col 32}{res}{space 2} .6562863{col 44}{space 2} .3040544{col 55}{space 1}    2.16{col 64}{space 3}0.031{col 72}{space 4} .0603507{col 85}{space 3} 1.252222
{txt}{space 25}2010  {c |}{col 32}{res}{space 2} .3387993{col 44}{space 2} .2864007{col 55}{space 1}    1.18{col 64}{space 3}0.237{col 72}{space 4}-.2225358{col 85}{space 3} .9001344
{txt}{space 25}2012  {c |}{col 32}{res}{space 2} .2453959{col 44}{space 2} .2783131{col 55}{space 1}    0.88{col 64}{space 3}0.378{col 72}{space 4}-.3000878{col 85}{space 3} .7908796
{txt}{space 25}2014  {c |}{col 32}{res}{space 2}-.5006175{col 44}{space 2} .3303381{col 55}{space 1}   -1.52{col 64}{space 3}0.130{col 72}{space 4}-1.148068{col 85}{space 3} .1468332
{txt}{space 25}2016  {c |}{col 32}{res}{space 2} .1831219{col 44}{space 2} .2877853{col 55}{space 1}    0.64{col 64}{space 3}0.525{col 72}{space 4} -.380927{col 85}{space 3} .7471707
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}-.6904791{col 44}{space 2} .3972266{col 55}{space 1}   -1.74{col 64}{space 3}0.082{col 72}{space 4}-1.469029{col 85}{space 3} .0880707
{txt}{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate                        {txt}{c |}
{space 25}_cons {c |}{col 32}{res}{space 2}-1.236635{col 44}{space 2}  .513476{col 55}{space 1}   -2.41{col 64}{space 3}0.016{col 72}{space 4}-2.243029{col 85}{space 3}-.2302403
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A5: 
. * MODEL A5.1: 
. nbreg sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1803.6006}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1803.3458}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1803.3456}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1803.3456}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1922.4573}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1890.8338}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1889.8623}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1889.8467}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1889.8467}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1783.4832}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1757.5181}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1756.5185}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1756.5167}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1756.5167}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}26{txt}){col 67}= {res}    315.31
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1756.5167{txt}{col 49}Pseudo R2{col 67}= {res}    0.0706

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1703611{col 31}{space 2} .0725246{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-.3125068{col 72}{space 3}-.0282154
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.405803{col 31}{space 2} .2236014{col 42}{space 1}   -6.29{col 51}{space 3}0.000{col 59}{space 4}-1.844054{col 72}{space 3}-.9675526
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0393329{col 31}{space 2} .0041665{col 42}{space 1}    9.44{col 51}{space 3}0.000{col 59}{space 4} .0311667{col 72}{space 3}  .047499
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.7999806{col 31}{space 2} .1550879{col 42}{space 1}   -5.16{col 51}{space 3}0.000{col 59}{space 4}-1.103947{col 72}{space 3} -.496014
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.1009695{col 31}{space 2} .1795987{col 42}{space 1}   -0.56{col 51}{space 3}0.574{col 59}{space 4}-.4529765{col 72}{space 3} .2510374
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.2507687{col 31}{space 2} .1273833{col 42}{space 1}   -1.97{col 51}{space 3}0.049{col 59}{space 4}-.5004353{col 72}{space 3}-.0011021
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.3920314{col 31}{space 2} .2909854{col 42}{space 1}   -1.35{col 51}{space 3}0.178{col 59}{space 4}-.9623522{col 72}{space 3} .1782895
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0310788{col 31}{space 2} .1374969{col 42}{space 1}   -0.23{col 51}{space 3}0.821{col 59}{space 4}-.3005678{col 72}{space 3} .2384102
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1733432{col 31}{space 2} .2989527{col 42}{space 1}    0.58{col 51}{space 3}0.562{col 59}{space 4}-.4125932{col 72}{space 3} .7592797
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.1137342{col 31}{space 2} .3611814{col 42}{space 1}   -0.31{col 51}{space 3}0.753{col 59}{space 4}-.8216367{col 72}{space 3} .5941683
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.3344412{col 31}{space 2} .3325121{col 42}{space 1}   -1.01{col 51}{space 3}0.315{col 59}{space 4} -.986153{col 72}{space 3} .3172707
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.4037295{col 31}{space 2} .3539342{col 42}{space 1}   -1.14{col 51}{space 3}0.254{col 59}{space 4}-1.097428{col 72}{space 3} .2899687
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}  .052952{col 31}{space 2} .3277503{col 42}{space 1}    0.16{col 51}{space 3}0.872{col 59}{space 4}-.5894267{col 72}{space 3} .6953308
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} 1.042216{col 31}{space 2} .2750308{col 42}{space 1}    3.79{col 51}{space 3}0.000{col 59}{space 4} .5031656{col 72}{space 3} 1.581267
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .2213547{col 31}{space 2} .3110479{col 42}{space 1}    0.71{col 51}{space 3}0.477{col 59}{space 4}-.3882881{col 72}{space 3} .8309974
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .1224095{col 31}{space 2} .3648595{col 42}{space 1}    0.34{col 51}{space 3}0.737{col 59}{space 4} -.592702{col 72}{space 3} .8375209
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.6070245{col 31}{space 2} .3833057{col 42}{space 1}   -1.58{col 51}{space 3}0.113{col 59}{space 4} -1.35829{col 72}{space 3} .1442408
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.4300949{col 31}{space 2} .3665349{col 42}{space 1}   -1.17{col 51}{space 3}0.241{col 59}{space 4} -1.14849{col 72}{space 3} .2883003
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .1715741{col 31}{space 2} .3367208{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-.4883865{col 72}{space 3} .8315347
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}  .316893{col 31}{space 2} .3239277{col 42}{space 1}    0.98{col 51}{space 3}0.328{col 59}{space 4}-.3179937{col 72}{space 3} .9517797
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .3018297{col 31}{space 2} .3307142{col 42}{space 1}    0.91{col 51}{space 3}0.361{col 59}{space 4}-.3463583{col 72}{space 3} .9500177
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .6526941{col 31}{space 2} .3131926{col 42}{space 1}    2.08{col 51}{space 3}0.037{col 59}{space 4} .0388479{col 72}{space 3}  1.26654
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .7582048{col 31}{space 2} .2941684{col 42}{space 1}    2.58{col 51}{space 3}0.010{col 59}{space 4} .1816453{col 72}{space 3} 1.334764
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .9186046{col 31}{space 2} .2946775{col 42}{space 1}    3.12{col 51}{space 3}0.002{col 59}{space 4} .3410473{col 72}{space 3} 1.496162
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.0232014{col 31}{space 2} .3315726{col 42}{space 1}   -0.07{col 51}{space 3}0.944{col 59}{space 4}-.6730718{col 72}{space 3} .6266689
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .8328477{col 31}{space 2} .2897723{col 42}{space 1}    2.87{col 51}{space 3}0.004{col 59}{space 4} .2649044{col 72}{space 3} 1.400791
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-1.351954{col 31}{space 2} .3277099{col 42}{space 1}   -4.13{col 51}{space 3}0.000{col 59}{space 4}-1.994254{col 72}{space 3}-.7096546
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} .8701167{col 31}{space 2} .1871422{col 59}{space 4} .5033247{col 72}{space 3} 1.236909
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 2.387189{col 31}{space 2} .4467438{col 59}{space 4} 1.654212{col 72}{space 3} 3.444947
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A5.2:
. nbreg sumqualchall i.expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1802.6534}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1802.3977}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1802.3974}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1802.3974}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1922.4573}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1890.8338}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1889.8623}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1889.8467}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1889.8467}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1782.8948}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1756.5909}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1755.5668}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1755.565}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1755.565}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    316.58
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1755.565{txt}{col 49}Pseudo R2{col 67}= {res}    0.0711

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         sumqualchall{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2}-.2964443{col 35}{space 2} .1177678{col 46}{space 1}   -2.52{col 55}{space 3}0.012{col 63}{space 4}-.5272649{col 76}{space 3}-.0656236
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2}-.2978216{col 35}{space 2} .1406449{col 46}{space 1}   -2.12{col 55}{space 3}0.034{col 63}{space 4}-.5734806{col 76}{space 3}-.0221626
{txt}{space 21} {c |}
{space 11}pripct_lag {c |}{col 23}{res}{space 2}-1.411565{col 35}{space 2} .2232857{col 46}{space 1}   -6.32{col 55}{space 3}0.000{col 63}{space 4}-1.849197{col 76}{space 3}-.9739329
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2} .0391549{col 35}{space 2} .0041571{col 46}{space 1}    9.42{col 55}{space 3}0.000{col 63}{space 4}  .031007{col 76}{space 3} .0473027
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2}-.8035994{col 35}{space 2}  .154983{col 46}{space 1}   -5.19{col 55}{space 3}0.000{col 63}{space 4} -1.10736{col 76}{space 3}-.4998384
{txt}{space 15}gender {c |}{col 23}{res}{space 2}-.0918471{col 35}{space 2} .1795111{col 46}{space 1}   -0.51{col 55}{space 3}0.609{col 63}{space 4}-.4436825{col 76}{space 3} .2599882
{txt}{space 16}power {c |}{col 23}{res}{space 2}-.2472217{col 35}{space 2} .1271612{col 46}{space 1}   -1.94{col 55}{space 3}0.052{col 63}{space 4}-.4964532{col 76}{space 3} .0020097
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.3923436{col 35}{space 2}  .290359{col 46}{space 1}   -1.35{col 55}{space 3}0.177{col 63}{space 4}-.9614367{col 76}{space 3} .1767495
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2} -.030425{col 35}{space 2} .1380594{col 46}{space 1}   -0.22{col 55}{space 3}0.826{col 63}{space 4}-.3010163{col 76}{space 3} .2401664
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .1836349{col 35}{space 2} .2982305{col 46}{space 1}    0.62{col 55}{space 3}0.538{col 63}{space 4}-.4008862{col 76}{space 3} .7681559
{txt}{space 16}1984  {c |}{col 23}{res}{space 2}-.1073516{col 35}{space 2} .3605881{col 46}{space 1}   -0.30{col 55}{space 3}0.766{col 63}{space 4}-.8140914{col 76}{space 3} .5993882
{txt}{space 16}1986  {c |}{col 23}{res}{space 2}-.3205763{col 35}{space 2} .3320895{col 46}{space 1}   -0.97{col 55}{space 3}0.334{col 63}{space 4}-.9714598{col 76}{space 3} .3303071
{txt}{space 16}1988  {c |}{col 23}{res}{space 2}-.3994646{col 35}{space 2} .3530267{col 46}{space 1}   -1.13{col 55}{space 3}0.258{col 63}{space 4}-1.091384{col 76}{space 3} .2924549
{txt}{space 16}1990  {c |}{col 23}{res}{space 2} .0587554{col 35}{space 2} .3269396{col 46}{space 1}    0.18{col 55}{space 3}0.857{col 63}{space 4}-.5820344{col 76}{space 3} .6995452
{txt}{space 16}1992  {c |}{col 23}{res}{space 2} 1.054795{col 35}{space 2} .2742277{col 46}{space 1}    3.85{col 55}{space 3}0.000{col 63}{space 4} .5173191{col 76}{space 3} 1.592272
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .2266697{col 35}{space 2}  .310329{col 46}{space 1}    0.73{col 55}{space 3}0.465{col 63}{space 4}-.3815638{col 76}{space 3} .8349033
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .1200712{col 35}{space 2} .3641253{col 46}{space 1}    0.33{col 55}{space 3}0.742{col 63}{space 4}-.5936013{col 76}{space 3} .8337437
{txt}{space 16}1998  {c |}{col 23}{res}{space 2}-.6105774{col 35}{space 2}  .382882{col 46}{space 1}   -1.59{col 55}{space 3}0.111{col 63}{space 4}-1.361012{col 76}{space 3} .1398576
{txt}{space 16}2000  {c |}{col 23}{res}{space 2} -.420806{col 35}{space 2} .3651591{col 46}{space 1}   -1.15{col 55}{space 3}0.249{col 63}{space 4}-1.136505{col 76}{space 3} .2948927
{txt}{space 16}2002  {c |}{col 23}{res}{space 2} .1823132{col 35}{space 2} .3355564{col 46}{space 1}    0.54{col 55}{space 3}0.587{col 63}{space 4}-.4753653{col 76}{space 3} .8399917
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .3270023{col 35}{space 2}  .323456{col 46}{space 1}    1.01{col 55}{space 3}0.312{col 63}{space 4}-.3069599{col 76}{space 3} .9609644
{txt}{space 16}2006  {c |}{col 23}{res}{space 2}  .317696{col 35}{space 2} .3301798{col 46}{space 1}    0.96{col 55}{space 3}0.336{col 63}{space 4}-.3294445{col 76}{space 3} .9648366
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .6747571{col 35}{space 2} .3131613{col 46}{space 1}    2.15{col 55}{space 3}0.031{col 63}{space 4} .0609722{col 76}{space 3} 1.288542
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .7627539{col 35}{space 2} .2929511{col 46}{space 1}    2.60{col 55}{space 3}0.009{col 63}{space 4} .1885803{col 76}{space 3} 1.336927
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .9305949{col 35}{space 2} .2938336{col 46}{space 1}    3.17{col 55}{space 3}0.002{col 63}{space 4} .3546917{col 76}{space 3} 1.506498
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.0121563{col 35}{space 2} .3310958{col 46}{space 1}   -0.04{col 55}{space 3}0.971{col 63}{space 4} -.661092{col 76}{space 3} .6367795
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .8493527{col 35}{space 2} .2897024{col 46}{space 1}    2.93{col 55}{space 3}0.003{col 63}{space 4} .2815464{col 76}{space 3} 1.417159
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} -1.48763{col 35}{space 2} .3071697{col 46}{space 1}   -4.84{col 55}{space 3}0.000{col 63}{space 4}-2.089672{col 76}{space 3}-.8855884
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnalpha {c |}{col 23}{res}{space 2} .8675432{col 35}{space 2} .1869596{col 63}{space 4} .5011091{col 76}{space 3} 1.233977
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                alpha {c |}{col 23}{res}{space 2} 2.381054{col 35}{space 2} .4451609{col 63}{space 4} 1.650551{col 76}{space 3} 3.434864
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A5.3:
. nbreg sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1301.2151}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1301.2065}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1301.2065}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1354.2292}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1353.7412}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1353.7402}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1353.7402}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1300.2945}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1294.478}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1294.3517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1294.3514}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1294.3514}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}26{txt}){col 67}= {res}    139.78
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1294.3514{txt}{col 49}Pseudo R2{col 67}= {res}    0.0439

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1321298{col 31}{space 2} .0654848{col 42}{space 1}   -2.02{col 51}{space 3}0.044{col 59}{space 4}-.2604777{col 72}{space 3}-.0037819
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.4507802{col 31}{space 2} .2346334{col 42}{space 1}   -1.92{col 51}{space 3}0.055{col 59}{space 4}-.9106531{col 72}{space 3} .0090928
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0227708{col 31}{space 2} .0040114{col 42}{space 1}    5.68{col 51}{space 3}0.000{col 59}{space 4} .0149086{col 72}{space 3}  .030633
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.5025559{col 31}{space 2} .1595577{col 42}{space 1}   -3.15{col 51}{space 3}0.002{col 59}{space 4}-.8152833{col 72}{space 3}-.1898285
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.1146607{col 31}{space 2} .1603492{col 42}{space 1}   -0.72{col 51}{space 3}0.475{col 59}{space 4}-.4289393{col 72}{space 3}  .199618
{txt}{space 12}power {c |}{col 19}{res}{space 2}  -.24422{col 31}{space 2} .1185309{col 42}{space 1}   -2.06{col 51}{space 3}0.039{col 59}{space 4}-.4765363{col 72}{space 3}-.0119037
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.5130005{col 31}{space 2} .2941277{col 42}{space 1}   -1.74{col 51}{space 3}0.081{col 59}{space 4} -1.08948{col 72}{space 3} .0634793
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1494829{col 31}{space 2} .1336982{col 42}{space 1}   -1.12{col 51}{space 3}0.264{col 59}{space 4}-.4115265{col 72}{space 3} .1125608
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0824912{col 31}{space 2} .2906793{col 42}{space 1}    0.28{col 51}{space 3}0.777{col 59}{space 4}-.4872299{col 72}{space 3} .6522122
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.3297979{col 31}{space 2} .3582715{col 42}{space 1}   -0.92{col 51}{space 3}0.357{col 59}{space 4}-1.031997{col 72}{space 3} .3724013
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} -.497101{col 31}{space 2} .3265674{col 42}{space 1}   -1.52{col 51}{space 3}0.128{col 59}{space 4}-1.137161{col 72}{space 3} .1429594
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.2037243{col 31}{space 2} .3414867{col 42}{space 1}   -0.60{col 51}{space 3}0.551{col 59}{space 4}-.8730259{col 72}{space 3} .4655772
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .1121502{col 31}{space 2} .3126768{col 42}{space 1}    0.36{col 51}{space 3}0.720{col 59}{space 4}-.5006852{col 72}{space 3} .7249855
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .6962165{col 31}{space 2} .2613347{col 42}{space 1}    2.66{col 51}{space 3}0.008{col 59}{space 4}   .18401{col 72}{space 3} 1.208423
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}  .227678{col 31}{space 2} .2986007{col 42}{space 1}    0.76{col 51}{space 3}0.446{col 59}{space 4}-.3575686{col 72}{space 3} .8129247
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .2049856{col 31}{space 2} .3550274{col 42}{space 1}    0.58{col 51}{space 3}0.564{col 59}{space 4}-.4908553{col 72}{space 3} .9008265
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.2460292{col 31}{space 2} .3677319{col 42}{space 1}   -0.67{col 51}{space 3}0.503{col 59}{space 4}-.9667705{col 72}{space 3}  .474712
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.0963611{col 31}{space 2} .3480675{col 42}{space 1}   -0.28{col 51}{space 3}0.782{col 59}{space 4}-.7785608{col 72}{space 3} .5858386
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .2971066{col 31}{space 2} .3219064{col 42}{space 1}    0.92{col 51}{space 3}0.356{col 59}{space 4}-.3338183{col 72}{space 3} .9280315
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .4508218{col 31}{space 2} .3058115{col 42}{space 1}    1.47{col 51}{space 3}0.140{col 59}{space 4}-.1485577{col 72}{space 3} 1.050201
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .4377695{col 31}{space 2} .3196209{col 42}{space 1}    1.37{col 51}{space 3}0.171{col 59}{space 4} -.188676{col 72}{space 3} 1.064215
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .7549037{col 31}{space 2} .2972675{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4}   .17227{col 72}{space 3} 1.337537
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .4608411{col 31}{space 2} .2815334{col 42}{space 1}    1.64{col 51}{space 3}0.102{col 59}{space 4}-.0909542{col 72}{space 3} 1.012636
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .3968592{col 31}{space 2} .2784526{col 42}{space 1}    1.43{col 51}{space 3}0.154{col 59}{space 4}-.1488978{col 72}{space 3} .9426162
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3598754{col 31}{space 2}  .324246{col 42}{space 1}   -1.11{col 51}{space 3}0.267{col 59}{space 4}-.9953859{col 72}{space 3} .2756351
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3225551{col 31}{space 2} .2815052{col 42}{space 1}    1.15{col 51}{space 3}0.252{col 59}{space 4}-.2291849{col 72}{space 3} .8742951
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.9792251{col 31}{space 2} .3425207{col 42}{space 1}   -2.86{col 51}{space 3}0.004{col 59}{space 4}-1.650553{col 72}{space 3}-.3078969
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}-.8065631{col 31}{space 2} .3802538{col 59}{space 4}-1.551847{col 72}{space 3}-.0612793
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} .4463896{col 31}{space 2} .1697414{col 59}{space 4} .2118563{col 72}{space 3} .9405605
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A5.4: 
. nbreg sumchall15pct expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1184.7119}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1184.5214}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1184.5213}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1184.5213}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1277.7839}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1264.6991}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1264.699}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1264.699}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1193.1104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1184.6258}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1184.5466}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1184.5264}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1184.5224}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1184.5215}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1184.5213}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1184.5213}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1184.5213}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-1184.5213}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1184.5213}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}26{txt}){col 67}= {res}    194.25
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1184.5213{txt}{col 49}Pseudo R2{col 67}= {res}    0.0634

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    sumchall15pct{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1893601{col 31}{space 2} .0637603{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4} -.314328{col 72}{space 3}-.0643922
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.9306267{col 31}{space 2} .2137984{col 42}{space 1}   -4.35{col 51}{space 3}0.000{col 59}{space 4}-1.349664{col 72}{space 3}-.5115896
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0237727{col 31}{space 2} .0034359{col 42}{space 1}    6.92{col 51}{space 3}0.000{col 59}{space 4} .0170385{col 72}{space 3}  .030507
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.2375595{col 31}{space 2}  .142238{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-.5163409{col 72}{space 3} .0412218
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.2784118{col 31}{space 2} .1551918{col 42}{space 1}   -1.79{col 51}{space 3}0.073{col 59}{space 4}-.5825821{col 72}{space 3} .0257585
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.4501873{col 31}{space 2} .1477602{col 42}{space 1}   -3.05{col 51}{space 3}0.002{col 59}{space 4} -.739792{col 72}{space 3}-.1605826
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-1.596981{col 31}{space 2}   .50658{col 42}{space 1}   -3.15{col 51}{space 3}0.002{col 59}{space 4} -2.58986{col 72}{space 3}-.6041024
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1422927{col 31}{space 2} .1329171{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}-.4028054{col 72}{space 3}   .11822
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2}-.2065919{col 31}{space 2} .2299954{col 42}{space 1}   -0.90{col 51}{space 3}0.369{col 59}{space 4}-.6573746{col 72}{space 3} .2441908
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.4791993{col 31}{space 2} .2074065{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.8857085{col 72}{space 3}-.0726901
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.8358952{col 31}{space 2} .2731323{col 42}{space 1}   -3.06{col 51}{space 3}0.002{col 59}{space 4}-1.371225{col 72}{space 3}-.3005657
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.6948819{col 31}{space 2} .2973664{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-1.277709{col 72}{space 3}-.1120545
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.5928706{col 31}{space 2} .2632314{col 42}{space 1}   -2.25{col 51}{space 3}0.024{col 59}{space 4}-1.108795{col 72}{space 3}-.0769465
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.1075557{col 31}{space 2} .2079801{col 42}{space 1}   -0.52{col 51}{space 3}0.605{col 59}{space 4}-.5151893{col 72}{space 3} .3000779
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}-.4988677{col 31}{space 2} .2285333{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-.9467848{col 72}{space 3}-.0509506
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}-.3099074{col 31}{space 2} .2508078{col 42}{space 1}   -1.24{col 51}{space 3}0.217{col 59}{space 4}-.8014816{col 72}{space 3} .1816667
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.6529653{col 31}{space 2} .3385024{col 42}{space 1}   -1.93{col 51}{space 3}0.054{col 59}{space 4}-1.316418{col 72}{space 3} .0104873
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.4633937{col 31}{space 2} .2829753{col 42}{space 1}   -1.64{col 51}{space 3}0.102{col 59}{space 4}-1.018015{col 72}{space 3} .0912277
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.4107211{col 31}{space 2} .2810465{col 42}{space 1}   -1.46{col 51}{space 3}0.144{col 59}{space 4} -.961562{col 72}{space 3} .1401199
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.6332603{col 31}{space 2} .2854194{col 42}{space 1}   -2.22{col 51}{space 3}0.027{col 59}{space 4}-1.192672{col 72}{space 3}-.0738485
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}-.1132469{col 31}{space 2} .2527244{col 42}{space 1}   -0.45{col 51}{space 3}0.654{col 59}{space 4}-.6085776{col 72}{space 3} .3820838
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.0562927{col 31}{space 2} .2431059{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4}-.5327715{col 72}{space 3} .4201861
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}-.4256979{col 31}{space 2}  .268327{col 42}{space 1}   -1.59{col 51}{space 3}0.113{col 59}{space 4}-.9516091{col 72}{space 3} .1002133
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.5729238{col 31}{space 2} .2418191{col 42}{space 1}   -2.37{col 51}{space 3}0.018{col 59}{space 4}-1.046881{col 72}{space 3}-.0989671
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}  -.65297{col 31}{space 2} .2637035{col 42}{space 1}   -2.48{col 51}{space 3}0.013{col 59}{space 4}-1.169819{col 72}{space 3}-.1361206
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.6160414{col 31}{space 2} .2466684{col 42}{space 1}   -2.50{col 51}{space 3}0.013{col 59}{space 4}-1.099503{col 72}{space 3}-.1325801
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.0678962{col 31}{space 2} .2307453{col 42}{space 1}   -0.29{col 51}{space 3}0.769{col 59}{space 4}-.5201487{col 72}{space 3} .3843563
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}-16.27433{col 31}{space 2} .0766582{col 59}{space 4}-16.42458{col 72}{space 3}-16.12408
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 8.55e-08{col 31}{space 2} 6.56e-09{col 59}{space 4} 7.36e-08{col 72}{space 3} 9.94e-08
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE A6: 
. * MODEL A6.1: 
. xtreg sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     7,456
{txt}Group variable: {res}bonicaridD~m                    {txt}Number of groups  = {res}     1,564

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0135                                         {txt}min = {res}         1
{txt}     between = {res}0.0657                                         {txt}avg = {res}       4.8
{txt}     overall = {res}0.0356                                         {txt}max = {res}        19

                                                {txt}Wald chi2({res}26{txt})     =  {res}   117.57
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}-.0113366{col 31}{space 2} .0053335{col 42}{space 1}   -2.13{col 51}{space 3}0.034{col 59}{space 4}  -.02179{col 72}{space 3}-.0008832
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.0567315{col 31}{space 2} .0248565{col 42}{space 1}   -2.28{col 51}{space 3}0.022{col 59}{space 4}-.1054492{col 72}{space 3}-.0080137
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0032527{col 31}{space 2} .0005443{col 42}{space 1}    5.98{col 51}{space 3}0.000{col 59}{space 4} .0021859{col 72}{space 3} .0043196
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.0730625{col 31}{space 2} .0184782{col 42}{space 1}   -3.95{col 51}{space 3}0.000{col 59}{space 4}-.1092791{col 72}{space 3}-.0368459
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0056165{col 31}{space 2} .0156092{col 42}{space 1}   -0.36{col 51}{space 3}0.719{col 59}{space 4}-.0362099{col 72}{space 3} .0249769
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.0115276{col 31}{space 2} .0091302{col 42}{space 1}   -1.26{col 51}{space 3}0.207{col 59}{space 4}-.0294226{col 72}{space 3} .0063673
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0277042{col 31}{space 2} .0164892{col 42}{space 1}   -1.68{col 51}{space 3}0.093{col 59}{space 4}-.0600226{col 72}{space 3} .0046141
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0027033{col 31}{space 2} .0118495{col 42}{space 1}   -0.23{col 51}{space 3}0.820{col 59}{space 4}-.0259278{col 72}{space 3} .0205213
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0115726{col 31}{space 2} .0189723{col 42}{space 1}    0.61{col 51}{space 3}0.542{col 59}{space 4}-.0256125{col 72}{space 3} .0487577
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} -.001848{col 31}{space 2} .0203558{col 42}{space 1}   -0.09{col 51}{space 3}0.928{col 59}{space 4}-.0417446{col 72}{space 3} .0380486
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.0120635{col 31}{space 2} .0164477{col 42}{space 1}   -0.73{col 51}{space 3}0.463{col 59}{space 4}-.0443004{col 72}{space 3} .0201734
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.0124021{col 31}{space 2} .0172842{col 42}{space 1}   -0.72{col 51}{space 3}0.473{col 59}{space 4}-.0462784{col 72}{space 3} .0214742
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}  .004062{col 31}{space 2} .0183774{col 42}{space 1}    0.22{col 51}{space 3}0.825{col 59}{space 4}-.0319571{col 72}{space 3}  .040081
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .1024006{col 31}{space 2} .0277368{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} .0480375{col 72}{space 3} .1567638
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .0296037{col 31}{space 2} .0241091{col 42}{space 1}    1.23{col 51}{space 3}0.219{col 59}{space 4}-.0176494{col 72}{space 3} .0768567
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .0192463{col 31}{space 2} .0240543{col 42}{space 1}    0.80{col 51}{space 3}0.424{col 59}{space 4}-.0278992{col 72}{space 3} .0663919
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.0096545{col 31}{space 2} .0181678{col 42}{space 1}   -0.53{col 51}{space 3}0.595{col 59}{space 4}-.0452628{col 72}{space 3} .0259538
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.0034913{col 31}{space 2} .0187595{col 42}{space 1}   -0.19{col 51}{space 3}0.852{col 59}{space 4}-.0402592{col 72}{space 3} .0332766
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .0193101{col 31}{space 2} .0209247{col 42}{space 1}    0.92{col 51}{space 3}0.356{col 59}{space 4}-.0217017{col 72}{space 3} .0603218
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .0331387{col 31}{space 2} .0219841{col 42}{space 1}    1.51{col 51}{space 3}0.132{col 59}{space 4}-.0099493{col 72}{space 3} .0762267
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .0290364{col 31}{space 2} .0217201{col 42}{space 1}    1.34{col 51}{space 3}0.181{col 59}{space 4}-.0135341{col 72}{space 3}  .071607
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .0622122{col 31}{space 2} .0258591{col 42}{space 1}    2.41{col 51}{space 3}0.016{col 59}{space 4} .0115293{col 72}{space 3}  .112895
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .0677651{col 31}{space 2} .0250446{col 42}{space 1}    2.71{col 51}{space 3}0.007{col 59}{space 4} .0186786{col 72}{space 3} .1168517
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0933122{col 31}{space 2} .0290447{col 42}{space 1}    3.21{col 51}{space 3}0.001{col 59}{space 4} .0363857{col 72}{space 3} .1502388
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} .0201957{col 31}{space 2} .0209984{col 42}{space 1}    0.96{col 51}{space 3}0.336{col 59}{space 4}-.0209604{col 72}{space 3} .0613519
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .0880845{col 31}{space 2} .0260809{col 42}{space 1}    3.38{col 51}{space 3}0.001{col 59}{space 4} .0369668{col 72}{space 3} .1392021
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .1401008{col 31}{space 2} .0338038{col 42}{space 1}    4.14{col 51}{space 3}0.000{col 59}{space 4} .0738466{col 72}{space 3}  .206355
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} .16194843
          {txt}sigma_e {c |} {res} .28982666
              {txt}rho {c |} {res} .23793938{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}

{com}. * MODEL A6.2:
. xtreg sumqualchall i.expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT, cluster(bonicaridDT)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     7,456
{txt}Group variable: {res}bonicaridD~m                    {txt}Number of groups  = {res}     1,564

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0136                                         {txt}min = {res}         1
{txt}     between = {res}0.0662                                         {txt}avg = {res}       4.8
{txt}     overall = {res}0.0358                                         {txt}max = {res}        19

                                                {txt}Wald chi2({res}27{txt})     =  {res}   117.93
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         sumqualchall{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2} -.017955{col 35}{space 2} .0094391{col 46}{space 1}   -1.90{col 55}{space 3}0.057{col 63}{space 4}-.0364554{col 76}{space 3} .0005453
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2}-.0213596{col 35}{space 2} .0104011{col 46}{space 1}   -2.05{col 55}{space 3}0.040{col 63}{space 4}-.0417454{col 76}{space 3}-.0009739
{txt}{space 21} {c |}
{space 11}pripct_lag {c |}{col 23}{res}{space 2}-.0565087{col 35}{space 2} .0249121{col 46}{space 1}   -2.27{col 55}{space 3}0.023{col 63}{space 4}-.1053355{col 76}{space 3} -.007682
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2} .0032536{col 35}{space 2} .0005443{col 46}{space 1}    5.98{col 55}{space 3}0.000{col 63}{space 4} .0021869{col 76}{space 3} .0043203
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2}-.0730706{col 35}{space 2} .0184969{col 46}{space 1}   -3.95{col 55}{space 3}0.000{col 63}{space 4}-.1093237{col 76}{space 3}-.0368174
{txt}{space 15}gender {c |}{col 23}{res}{space 2}-.0053887{col 35}{space 2} .0155876{col 46}{space 1}   -0.35{col 55}{space 3}0.730{col 63}{space 4}-.0359399{col 76}{space 3} .0251625
{txt}{space 16}power {c |}{col 23}{res}{space 2}-.0111262{col 35}{space 2}  .009168{col 46}{space 1}   -1.21{col 55}{space 3}0.225{col 63}{space 4}-.0290951{col 76}{space 3} .0068427
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.0280542{col 35}{space 2} .0164622{col 46}{space 1}   -1.70{col 55}{space 3}0.088{col 63}{space 4}-.0603194{col 76}{space 3} .0042111
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2}-.0026691{col 35}{space 2} .0118498{col 46}{space 1}   -0.23{col 55}{space 3}0.822{col 63}{space 4}-.0258944{col 76}{space 3} .0205561
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .0118814{col 35}{space 2} .0189759{col 46}{space 1}    0.63{col 55}{space 3}0.531{col 63}{space 4}-.0253106{col 76}{space 3} .0490734
{txt}{space 16}1984  {c |}{col 23}{res}{space 2}-.0014168{col 35}{space 2} .0203617{col 46}{space 1}   -0.07{col 55}{space 3}0.945{col 63}{space 4}-.0413249{col 76}{space 3} .0384914
{txt}{space 16}1986  {c |}{col 23}{res}{space 2}-.0116239{col 35}{space 2} .0164277{col 46}{space 1}   -0.71{col 55}{space 3}0.479{col 63}{space 4}-.0438216{col 76}{space 3} .0205737
{txt}{space 16}1988  {c |}{col 23}{res}{space 2}-.0120039{col 35}{space 2} .0172533{col 46}{space 1}   -0.70{col 55}{space 3}0.487{col 63}{space 4}-.0458197{col 76}{space 3}  .021812
{txt}{space 16}1990  {c |}{col 23}{res}{space 2} .0043319{col 35}{space 2} .0183596{col 46}{space 1}    0.24{col 55}{space 3}0.813{col 63}{space 4}-.0316521{col 76}{space 3}  .040316
{txt}{space 16}1992  {c |}{col 23}{res}{space 2} .1027922{col 35}{space 2} .0277129{col 46}{space 1}    3.71{col 55}{space 3}0.000{col 63}{space 4} .0484759{col 76}{space 3} .1571085
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .0299195{col 35}{space 2} .0241271{col 46}{space 1}    1.24{col 55}{space 3}0.215{col 63}{space 4}-.0173689{col 76}{space 3} .0772078
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .0193436{col 35}{space 2} .0240608{col 46}{space 1}    0.80{col 55}{space 3}0.421{col 63}{space 4}-.0278147{col 76}{space 3} .0665019
{txt}{space 16}1998  {c |}{col 23}{res}{space 2}-.0095612{col 35}{space 2} .0181657{col 46}{space 1}   -0.53{col 55}{space 3}0.599{col 63}{space 4}-.0451653{col 76}{space 3} .0260429
{txt}{space 16}2000  {c |}{col 23}{res}{space 2}-.0027248{col 35}{space 2} .0187565{col 46}{space 1}   -0.15{col 55}{space 3}0.884{col 63}{space 4}-.0394867{col 76}{space 3} .0340372
{txt}{space 16}2002  {c |}{col 23}{res}{space 2} .0197708{col 35}{space 2} .0208664{col 46}{space 1}    0.95{col 55}{space 3}0.343{col 63}{space 4}-.0211266{col 76}{space 3} .0606682
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .0337298{col 35}{space 2}  .021991{col 46}{space 1}    1.53{col 55}{space 3}0.125{col 63}{space 4}-.0093718{col 76}{space 3} .0768314
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .0299141{col 35}{space 2} .0216464{col 46}{space 1}    1.38{col 55}{space 3}0.167{col 63}{space 4} -.012512{col 76}{space 3} .0723402
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .0630869{col 35}{space 2} .0258083{col 46}{space 1}    2.44{col 55}{space 3}0.015{col 63}{space 4} .0125036{col 76}{space 3} .1136702
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .0682517{col 35}{space 2} .0250353{col 46}{space 1}    2.73{col 55}{space 3}0.006{col 63}{space 4} .0191834{col 76}{space 3} .1173201
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .0941676{col 35}{space 2} .0291083{col 46}{space 1}    3.24{col 55}{space 3}0.001{col 63}{space 4} .0371165{col 76}{space 3} .1512188
{txt}{space 16}2014  {c |}{col 23}{res}{space 2} .0206752{col 35}{space 2} .0209877{col 46}{space 1}    0.99{col 55}{space 3}0.325{col 63}{space 4}  -.02046{col 76}{space 3} .0618104
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .0888998{col 35}{space 2} .0260968{col 46}{space 1}    3.41{col 55}{space 3}0.001{col 63}{space 4} .0377511{col 76}{space 3} .1400486
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} .1302431{col 35}{space 2} .0327793{col 46}{space 1}    3.97{col 55}{space 3}0.000{col 63}{space 4} .0659968{col 76}{space 3} .1944895
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |} {res} .16190326
              {txt}sigma_e {c |} {res} .28984472
                  {txt}rho {c |} {res} .23781564{txt}   (fraction of variance due to u_i)
{hline 22}{c BT}{hline 64}

{com}. * MODEL A6.3:
. xtreg sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     2,331
{txt}Group variable: {res}bonicaridD~m                    {txt}Number of groups  = {res}       952

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0222                                         {txt}min = {res}         1
{txt}     between = {res}0.0654                                         {txt}avg = {res}       2.4
{txt}     overall = {res}0.0495                                         {txt}max = {res}        12

                                                {txt}Wald chi2({res}26{txt})     =  {res}    95.12
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}-.0310527{col 31}{space 2} .0144621{col 42}{space 1}   -2.15{col 51}{space 3}0.032{col 59}{space 4}-.0593978{col 72}{space 3}-.0027076
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.1000872{col 31}{space 2} .0634844{col 42}{space 1}   -1.58{col 51}{space 3}0.115{col 59}{space 4}-.2245144{col 72}{space 3}   .02434
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0056041{col 31}{space 2} .0011182{col 42}{space 1}    5.01{col 51}{space 3}0.000{col 59}{space 4} .0034125{col 72}{space 3} .0077957
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.1243688{col 31}{space 2} .0416809{col 42}{space 1}   -2.98{col 51}{space 3}0.003{col 59}{space 4}-.2060619{col 72}{space 3}-.0426758
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0320286{col 31}{space 2} .0347674{col 42}{space 1}   -0.92{col 51}{space 3}0.357{col 59}{space 4}-.1001714{col 72}{space 3} .0361142
{txt}{space 12}power {c |}{col 19}{res}{space 2} -.043964{col 31}{space 2} .0234567{col 42}{space 1}   -1.87{col 51}{space 3}0.061{col 59}{space 4}-.0899382{col 72}{space 3} .0020103
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0794742{col 31}{space 2} .0391422{col 42}{space 1}   -2.03{col 51}{space 3}0.042{col 59}{space 4}-.1561916{col 72}{space 3}-.0027568
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0345999{col 31}{space 2} .0294489{col 42}{space 1}   -1.17{col 51}{space 3}0.240{col 59}{space 4}-.0923186{col 72}{space 3} .0231188
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .0168942{col 31}{space 2} .0665674{col 42}{space 1}    0.25{col 51}{space 3}0.800{col 59}{space 4}-.1135755{col 72}{space 3}  .147364
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.0454386{col 31}{space 2} .0647543{col 42}{space 1}   -0.70{col 51}{space 3}0.483{col 59}{space 4}-.1723546{col 72}{space 3} .0814775
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.0779278{col 31}{space 2} .0562721{col 42}{space 1}   -1.38{col 51}{space 3}0.166{col 59}{space 4}-.1882191{col 72}{space 3} .0323634
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.0268182{col 31}{space 2} .0643618{col 42}{space 1}   -0.42{col 51}{space 3}0.677{col 59}{space 4} -.152965{col 72}{space 3} .0993286
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .0249536{col 31}{space 2} .0654741{col 42}{space 1}    0.38{col 51}{space 3}0.703{col 59}{space 4}-.1033732{col 72}{space 3} .1532804
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .1952875{col 31}{space 2} .0712987{col 42}{space 1}    2.74{col 51}{space 3}0.006{col 59}{space 4} .0555446{col 72}{space 3} .3350304
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}  .060979{col 31}{space 2} .0715909{col 42}{space 1}    0.85{col 51}{space 3}0.394{col 59}{space 4}-.0793366{col 72}{space 3} .2012946
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .0503446{col 31}{space 2} .0825277{col 42}{space 1}    0.61{col 51}{space 3}0.542{col 59}{space 4}-.1114068{col 72}{space 3} .2120959
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.0309289{col 31}{space 2} .0662095{col 42}{space 1}   -0.47{col 51}{space 3}0.640{col 59}{space 4}-.1606972{col 72}{space 3} .0988394
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .0008786{col 31}{space 2} .0667381{col 42}{space 1}    0.01{col 51}{space 3}0.989{col 59}{space 4}-.1299258{col 72}{space 3} .1316829
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} .0633497{col 31}{space 2} .0719105{col 42}{space 1}    0.88{col 51}{space 3}0.378{col 59}{space 4}-.0775923{col 72}{space 3} .2042917
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .1114402{col 31}{space 2} .0762102{col 42}{space 1}    1.46{col 51}{space 3}0.144{col 59}{space 4} -.037929{col 72}{space 3} .2608094
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .1111417{col 31}{space 2} .0758551{col 42}{space 1}    1.47{col 51}{space 3}0.143{col 59}{space 4}-.0375316{col 72}{space 3}  .259815
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .2070372{col 31}{space 2} .0855842{col 42}{space 1}    2.42{col 51}{space 3}0.016{col 59}{space 4} .0392953{col 72}{space 3}  .374779
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}  .109273{col 31}{space 2} .0665932{col 42}{space 1}    1.64{col 51}{space 3}0.101{col 59}{space 4}-.0212474{col 72}{space 3} .2397933
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0957912{col 31}{space 2} .0648549{col 42}{space 1}    1.48{col 51}{space 3}0.140{col 59}{space 4}-.0313222{col 72}{space 3} .2229045
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.0332248{col 31}{space 2} .0588741{col 42}{space 1}   -0.56{col 51}{space 3}0.573{col 59}{space 4} -.148616{col 72}{space 3} .0821663
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .0817402{col 31}{space 2} .0634752{col 42}{space 1}    1.29{col 51}{space 3}0.198{col 59}{space 4} -.042669{col 72}{space 3} .2061494
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .3546537{col 31}{space 2} .0893523{col 42}{space 1}    3.97{col 51}{space 3}0.000{col 59}{space 4} .1795264{col 72}{space 3} .5297809
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} .14374335
          {txt}sigma_e {c |} {res} .49425184
              {txt}rho {c |} {res} .07798597{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}

{com}. * MODEL A6.4: 
. xtreg sumchall15pct expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     2,331
{txt}Group variable: {res}bonicaridD~m                    {txt}Number of groups  = {res}       952

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0158                                         {txt}min = {res}         1
{txt}     between = {res}0.0999                                         {txt}avg = {res}       2.4
{txt}     overall = {res}0.0675                                         {txt}max = {res}        12

                                                {txt}Wald chi2({res}26{txt})     =  {res}   122.35
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    sumchall15pct{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2}-.0421023{col 31}{space 2} .0129146{col 42}{space 1}   -3.26{col 51}{space 3}0.001{col 59}{space 4}-.0674144{col 72}{space 3}-.0167901
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-.1667641{col 31}{space 2} .0568029{col 42}{space 1}   -2.94{col 51}{space 3}0.003{col 59}{space 4}-.2780957{col 72}{space 3}-.0554326
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0056006{col 31}{space 2} .0009738{col 42}{space 1}    5.75{col 51}{space 3}0.000{col 59}{space 4} .0036919{col 72}{space 3} .0075093
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.0694525{col 31}{space 2} .0339294{col 42}{space 1}   -2.05{col 51}{space 3}0.041{col 59}{space 4}-.1359528{col 72}{space 3}-.0029522
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.0698694{col 31}{space 2} .0285593{col 42}{space 1}   -2.45{col 51}{space 3}0.014{col 59}{space 4}-.1258447{col 72}{space 3}-.0138941
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.0822392{col 31}{space 2} .0220328{col 42}{space 1}   -3.73{col 51}{space 3}0.000{col 59}{space 4}-.1254227{col 72}{space 3}-.0390557
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.1213387{col 31}{space 2} .0266727{col 42}{space 1}   -4.55{col 51}{space 3}0.000{col 59}{space 4}-.1736162{col 72}{space 3}-.0690612
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0222102{col 31}{space 2} .0253865{col 42}{space 1}   -0.87{col 51}{space 3}0.382{col 59}{space 4}-.0719669{col 72}{space 3} .0275465
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} -.066748{col 31}{space 2}  .066905{col 42}{space 1}   -1.00{col 51}{space 3}0.318{col 59}{space 4}-.1978794{col 72}{space 3} .0643835
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} -.118565{col 31}{space 2} .0528466{col 42}{space 1}   -2.24{col 51}{space 3}0.025{col 59}{space 4}-.2221425{col 72}{space 3}-.0149876
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.1744514{col 31}{space 2}  .055806{col 42}{space 1}   -3.13{col 51}{space 3}0.002{col 59}{space 4}-.2838292{col 72}{space 3}-.0650736
{txt}{space 12}1988  {c |}{col 19}{res}{space 2}-.1547097{col 31}{space 2} .0646302{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.2813826{col 72}{space 3}-.0280368
{txt}{space 12}1990  {c |}{col 19}{res}{space 2}-.1296299{col 31}{space 2} .0591322{col 42}{space 1}   -2.19{col 51}{space 3}0.028{col 59}{space 4}-.2455269{col 72}{space 3} -.013733
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.0415081{col 31}{space 2} .0627451{col 42}{space 1}   -0.66{col 51}{space 3}0.508{col 59}{space 4}-.1644862{col 72}{space 3} .0814699
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}-.1155349{col 31}{space 2} .0614395{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-.2359541{col 72}{space 3} .0048844
{txt}{space 12}1996  {c |}{col 19}{res}{space 2}-.0821905{col 31}{space 2}  .070254{col 42}{space 1}   -1.17{col 51}{space 3}0.242{col 59}{space 4}-.2198858{col 72}{space 3} .0555049
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}-.1444177{col 31}{space 2}  .069892{col 42}{space 1}   -2.07{col 51}{space 3}0.039{col 59}{space 4}-.2814035{col 72}{space 3}-.0074319
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1036417{col 31}{space 2} .0672266{col 42}{space 1}   -1.54{col 51}{space 3}0.123{col 59}{space 4}-.2354034{col 72}{space 3}   .02812
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.0932461{col 31}{space 2} .0649197{col 42}{space 1}   -1.44{col 51}{space 3}0.151{col 59}{space 4}-.2204865{col 72}{space 3} .0339942
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.1323065{col 31}{space 2} .0640657{col 42}{space 1}   -2.07{col 51}{space 3}0.039{col 59}{space 4}-.2578729{col 72}{space 3}-.0067401
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} -.023944{col 31}{space 2}  .070248{col 42}{space 1}   -0.34{col 51}{space 3}0.733{col 59}{space 4}-.1616274{col 72}{space 3} .1137395
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} -.010931{col 31}{space 2}  .074205{col 42}{space 1}   -0.15{col 51}{space 3}0.883{col 59}{space 4}-.1563702{col 72}{space 3} .1345081
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}  -.09389{col 31}{space 2} .0650157{col 42}{space 1}   -1.44{col 51}{space 3}0.149{col 59}{space 4}-.2213185{col 72}{space 3} .0335385
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.1223223{col 31}{space 2} .0603589{col 42}{space 1}   -2.03{col 51}{space 3}0.043{col 59}{space 4}-.2406235{col 72}{space 3} -.004021
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.1242468{col 31}{space 2} .0613343{col 42}{space 1}   -2.03{col 51}{space 3}0.043{col 59}{space 4}-.2444597{col 72}{space 3}-.0040339
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.1255814{col 31}{space 2}  .060656{col 42}{space 1}   -2.07{col 51}{space 3}0.038{col 59}{space 4}-.2444649{col 72}{space 3}-.0066978
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .5439815{col 31}{space 2} .0721833{col 42}{space 1}    7.54{col 51}{space 3}0.000{col 59}{space 4} .4025049{col 72}{space 3} .6854581
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res}   .220364
          {txt}sigma_e {c |} {res} .40164664
              {txt}rho {c |} {res} .23137135{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}

{com}. 
. * TABLE A7: 
. * MODEL A7.1: 
. zip sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if yearDT<1995, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -821.8646}  
Iteration 1:{space 3}log pseudolikelihood = {res:-784.92875}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-775.64255}  
Iteration 3:{space 3}log pseudolikelihood = {res:-772.29064}  
Iteration 4:{space 3}log pseudolikelihood = {res:-771.80004}  
Iteration 5:{space 3}log pseudolikelihood = {res:-771.79761}  
Iteration 6:{space 3}log pseudolikelihood = {res:-771.79761}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-771.79761}  
Iteration 1:{space 3}log pseudolikelihood = {res:-735.30909}  
Iteration 2:{space 3}log pseudolikelihood = {res:-731.30932}  
Iteration 3:{space 3}log pseudolikelihood = {res:-709.91332}  
Iteration 4:{space 3}log pseudolikelihood = {res:-708.27576}  
Iteration 5:{space 3}log pseudolikelihood = {res:-708.26673}  
Iteration 6:{space 3}log pseudolikelihood = {res:-708.26672}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,123
                                                {txt}Nonzero obs       = {res}       178
                                                {txt}Zero obs          = {res}     2,945

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}15{txt})     = {res}    214.57
{txt}Log pseudolikelihood = {res}-708.2667                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:859} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1924916{col 31}{space 2}  .118293{col 42}{space 1}   -1.63{col 51}{space 3}0.104{col 59}{space 4}-.4243417{col 72}{space 3} .0393584
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.520228{col 31}{space 2} .3192319{col 42}{space 1}   -4.76{col 51}{space 3}0.000{col 59}{space 4}-2.145911{col 72}{space 3}-.8945449
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}   .03779{col 31}{space 2} .0059669{col 42}{space 1}    6.33{col 51}{space 3}0.000{col 59}{space 4}  .026095{col 72}{space 3}  .049485
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.7045952{col 31}{space 2} .2221954{col 42}{space 1}   -3.17{col 51}{space 3}0.002{col 59}{space 4} -1.14009{col 72}{space 3}-.2691001
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.2097478{col 31}{space 2} .4000672{col 42}{space 1}   -0.52{col 51}{space 3}0.600{col 59}{space 4}-.9938651{col 72}{space 3} .5743694
{txt}{space 12}power {c |}{col 19}{res}{space 2} .0064735{col 31}{space 2}  .191423{col 42}{space 1}    0.03{col 51}{space 3}0.973{col 59}{space 4}-.3687086{col 72}{space 3} .3816557
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} .3466054{col 31}{space 2} .3110919{col 42}{space 1}    1.11{col 51}{space 3}0.265{col 59}{space 4}-.2631234{col 72}{space 3} .9563343
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.2281456{col 31}{space 2} .2747666{col 42}{space 1}   -0.83{col 51}{space 3}0.406{col 59}{space 4}-.7666783{col 72}{space 3}  .310387
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1010871{col 31}{space 2} .3110619{col 42}{space 1}    0.32{col 51}{space 3}0.745{col 59}{space 4}-.5085831{col 72}{space 3} .7107572
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.1493965{col 31}{space 2} .3777619{col 42}{space 1}   -0.40{col 51}{space 3}0.692{col 59}{space 4}-.8897962{col 72}{space 3} .5910032
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}-.3871123{col 31}{space 2} .3422111{col 42}{space 1}   -1.13{col 51}{space 3}0.258{col 59}{space 4}-1.057834{col 72}{space 3} .2836092
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} -.447917{col 31}{space 2} .3622983{col 42}{space 1}   -1.24{col 51}{space 3}0.216{col 59}{space 4}-1.158009{col 72}{space 3} .2621747
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .0195997{col 31}{space 2} .3429737{col 42}{space 1}    0.06{col 51}{space 3}0.954{col 59}{space 4}-.6526164{col 72}{space 3} .6918157
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} .9899078{col 31}{space 2} .2951529{col 42}{space 1}    3.35{col 51}{space 3}0.001{col 59}{space 4} .4114186{col 72}{space 3} 1.568397
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .1517881{col 31}{space 2} .3368623{col 42}{space 1}    0.45{col 51}{space 3}0.652{col 59}{space 4}  -.50845{col 72}{space 3} .8120262
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.3964317{col 31}{space 2} .4922044{col 42}{space 1}   -0.81{col 51}{space 3}0.421{col 59}{space 4}-1.361135{col 72}{space 3} .5682712
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .3089204{col 31}{space 2} .3185417{col 42}{space 1}    0.97{col 51}{space 3}0.332{col 59}{space 4}-.3154098{col 72}{space 3} .9332506
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A7.2: 
. zip sumqualchall expectation pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if yearDT>1995, cluster(bonicaridDT) inflate(_cons)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1205.5384}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1146.2962}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1132.9788}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1126.6765}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1126.4299}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1126.4298}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1126.4298}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1062.7557}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1056.3509}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1050.2569}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1050.0994}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1050.0992}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1050.0992}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     4,333
                                                {txt}Nonzero obs       = {res}       259
                                                {txt}Zero obs          = {res}     4,074

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}18{txt})     = {res}    171.11
{txt}Log pseudolikelihood = {res}-1050.099                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,011} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     sumqualchall{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sumqualchall      {txt}{c |}
{space 6}expectation {c |}{col 19}{res}{space 2}-.1912051{col 31}{space 2} .0908901{col 42}{space 1}   -2.10{col 51}{space 3}0.035{col 59}{space 4}-.3693464{col 72}{space 3}-.0130639
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2}-1.189777{col 31}{space 2} .2960307{col 42}{space 1}   -4.02{col 51}{space 3}0.000{col 59}{space 4}-1.769987{col 72}{space 3}-.6095676
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2} .0397092{col 31}{space 2} .0062288{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4}  .027501{col 72}{space 3} .0519175
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}-.7589338{col 31}{space 2} .2226347{col 42}{space 1}   -3.41{col 51}{space 3}0.001{col 59}{space 4} -1.19529{col 72}{space 3}-.3225778
{txt}{space 11}gender {c |}{col 19}{res}{space 2}-.1185075{col 31}{space 2} .2004404{col 42}{space 1}   -0.59{col 51}{space 3}0.554{col 59}{space 4}-.5113635{col 72}{space 3} .2743485
{txt}{space 12}power {c |}{col 19}{res}{space 2}-.4746166{col 31}{space 2} .1707609{col 42}{space 1}   -2.78{col 51}{space 3}0.005{col 59}{space 4}-.8093018{col 72}{space 3}-.1399314
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} -.974334{col 31}{space 2} .4544812{col 42}{space 1}   -2.14{col 51}{space 3}0.032{col 59}{space 4}-1.865101{col 72}{space 3}-.0835673
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} .0671094{col 31}{space 2} .1588464{col 42}{space 1}    0.42{col 51}{space 3}0.673{col 59}{space 4}-.2442239{col 72}{space 3} .3784427
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1998  {c |}{col 19}{res}{space 2}-.8191046{col 31}{space 2} .4380811{col 42}{space 1}   -1.87{col 51}{space 3}0.062{col 59}{space 4}-1.677728{col 72}{space 3} .0395186
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.6555974{col 31}{space 2} .4450799{col 42}{space 1}   -1.47{col 51}{space 3}0.141{col 59}{space 4}-1.527938{col 72}{space 3} .2167433
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.0191622{col 31}{space 2} .4168375{col 42}{space 1}   -0.05{col 51}{space 3}0.963{col 59}{space 4}-.8361487{col 72}{space 3} .7978242
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .1170986{col 31}{space 2} .4080756{col 42}{space 1}    0.29{col 51}{space 3}0.774{col 59}{space 4}-.6827148{col 72}{space 3} .9169121
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}  .120046{col 31}{space 2} .4129958{col 42}{space 1}    0.29{col 51}{space 3}0.771{col 59}{space 4}-.6894109{col 72}{space 3} .9295029
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .4962182{col 31}{space 2} .3948506{col 42}{space 1}    1.26{col 51}{space 3}0.209{col 59}{space 4}-.2776748{col 72}{space 3} 1.270111
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .5601455{col 31}{space 2}  .386863{col 42}{space 1}    1.45{col 51}{space 3}0.148{col 59}{space 4} -.198092{col 72}{space 3} 1.318383
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}  .666976{col 31}{space 2} .3969449{col 42}{space 1}    1.68{col 51}{space 3}0.093{col 59}{space 4}-.1110217{col 72}{space 3} 1.444974
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} -.216039{col 31}{space 2} .4160305{col 42}{space 1}   -0.52{col 51}{space 3}0.604{col 59}{space 4}-1.031444{col 72}{space 3} .5993658
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .5867268{col 31}{space 2} .3916273{col 42}{space 1}    1.50{col 51}{space 3}0.134{col 59}{space 4}-.1808487{col 72}{space 3} 1.354302
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.1652109{col 31}{space 2} .4919664{col 42}{space 1}   -0.34{col 51}{space 3}0.737{col 59}{space 4}-1.129447{col 72}{space 3} .7990254
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .7468789{col 31}{space 2} .2551049{col 42}{space 1}    2.93{col 51}{space 3}0.003{col 59}{space 4} .2468826{col 72}{space 3} 1.246875
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE A8
. * MODEL A8.1: 
. logit priwin seniority majority comsubchair power allleader maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-310.14035}  
Iteration 2:{space 3}log pseudolikelihood = {res:-289.55782}  
Iteration 3:{space 3}log pseudolikelihood = {res:-288.76936}  
Iteration 4:{space 3}log pseudolikelihood = {res:-288.76576}  
Iteration 5:{space 3}log pseudolikelihood = {res:-288.76576}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}29{txt}){col 67}= {res}    333.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-288.76576{txt}{col 49}Pseudo R2{col 67}= {res}    0.2716

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}seniority {c |}{col 19}{res}{space 2}  .000521{col 31}{space 2} .0333323{col 42}{space 1}    0.02{col 51}{space 3}0.988{col 59}{space 4} -.064809{col 72}{space 3}  .065851
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .1920412{col 31}{space 2} .3631194{col 42}{space 1}    0.53{col 51}{space 3}0.597{col 59}{space 4}-.5196597{col 72}{space 3} .9037421
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2} .0122549{col 31}{space 2} .4288992{col 42}{space 1}    0.03{col 51}{space 3}0.977{col 59}{space 4}-.8283721{col 72}{space 3} .8528818
{txt}{space 12}power {c |}{col 19}{res}{space 2} .4609973{col 31}{space 2}  .353962{col 42}{space 1}    1.30{col 51}{space 3}0.193{col 59}{space 4}-.2327556{col 72}{space 3}  1.15475
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0674995{col 31}{space 2} .7443053{col 42}{space 1}   -0.09{col 51}{space 3}0.928{col 59}{space 4}-1.526311{col 72}{space 3} 1.391312
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.192487{col 31}{space 2} .3164287{col 42}{space 1}  -10.09{col 51}{space 3}0.000{col 59}{space 4}-3.812676{col 72}{space 3}-2.572298
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.437328{col 31}{space 2} .6589607{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4} .1457885{col 72}{space 3} 2.728867
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0164062{col 31}{space 2} .0106914{col 42}{space 1}   -1.53{col 51}{space 3}0.125{col 59}{space 4} -.037361{col 72}{space 3} .0045486
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8958731{col 31}{space 2} .3522344{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .2055064{col 72}{space 3}  1.58624
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1443332{col 31}{space 2} .4197555{col 42}{space 1}    0.34{col 51}{space 3}0.731{col 59}{space 4}-.6783724{col 72}{space 3} .9670388
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1937421{col 31}{space 2}  .313979{col 42}{space 1}   -0.62{col 51}{space 3}0.537{col 59}{space 4}-.8091296{col 72}{space 3} .4216454
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2057742{col 31}{space 2} .7560105{col 42}{space 1}    0.27{col 51}{space 3}0.785{col 59}{space 4}-1.275979{col 72}{space 3} 1.687528
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .2561202{col 31}{space 2} .8124664{col 42}{space 1}    0.32{col 51}{space 3}0.753{col 59}{space 4}-1.336285{col 72}{space 3} 1.848525
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6150932{col 31}{space 2}  .902581{col 42}{space 1}    0.68{col 51}{space 3}0.496{col 59}{space 4}-1.153933{col 72}{space 3} 2.384119
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.180212{col 31}{space 2} 1.170164{col 42}{space 1}    1.01{col 51}{space 3}0.313{col 59}{space 4}-1.113268{col 72}{space 3} 3.473692
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.308612{col 31}{space 2} 1.133127{col 42}{space 1}    1.15{col 51}{space 3}0.248{col 59}{space 4}-.9122751{col 72}{space 3}   3.5295
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8562905{col 31}{space 2} .6367803{col 42}{space 1}   -1.34{col 51}{space 3}0.179{col 59}{space 4}-2.104357{col 72}{space 3} .3917759
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4682949{col 31}{space 2} .7703698{col 42}{space 1}    0.61{col 51}{space 3}0.543{col 59}{space 4}-1.041602{col 72}{space 3} 1.978192
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .6705092{col 31}{space 2} .8864038{col 42}{space 1}    0.76{col 51}{space 3}0.449{col 59}{space 4} -1.06681{col 72}{space 3} 2.407829
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 1.171843{col 31}{space 2} 1.134967{col 42}{space 1}    1.03{col 51}{space 3}0.302{col 59}{space 4}-1.052652{col 72}{space 3} 3.396337
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .0963213{col 31}{space 2}  .866617{col 42}{space 1}    0.11{col 51}{space 3}0.912{col 59}{space 4}-1.602217{col 72}{space 3} 1.794859
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.1794689{col 31}{space 2} .7840302{col 42}{space 1}   -0.23{col 51}{space 3}0.819{col 59}{space 4} -1.71614{col 72}{space 3} 1.357202
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .7996778{col 31}{space 2} .9235298{col 42}{space 1}    0.87{col 51}{space 3}0.387{col 59}{space 4}-1.010407{col 72}{space 3} 2.609763
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .6527505{col 31}{space 2} .8923046{col 42}{space 1}    0.73{col 51}{space 3}0.464{col 59}{space 4}-1.096134{col 72}{space 3} 2.401636
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .1605393{col 31}{space 2} .8014915{col 42}{space 1}    0.20{col 51}{space 3}0.841{col 59}{space 4}-1.410355{col 72}{space 3} 1.731434
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1911294{col 31}{space 2} .7727498{col 42}{space 1}    0.25{col 51}{space 3}0.805{col 59}{space 4}-1.323432{col 72}{space 3} 1.705691
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .1524416{col 31}{space 2} .7830798{col 42}{space 1}    0.19{col 51}{space 3}0.846{col 59}{space 4}-1.382367{col 72}{space 3}  1.68725
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.2727048{col 31}{space 2} .7642675{col 42}{space 1}   -0.36{col 51}{space 3}0.721{col 59}{space 4}-1.770641{col 72}{space 3} 1.225232
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .4757162{col 31}{space 2} .8228446{col 42}{space 1}    0.58{col 51}{space 3}0.563{col 59}{space 4} -1.13703{col 72}{space 3} 2.088462
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.653251{col 31}{space 2} .7887729{col 42}{space 1}    4.63{col 51}{space 3}0.000{col 59}{space 4} 2.107284{col 72}{space 3} 5.199217
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A8.2: 
. logit priwin seniority majority comsubchair power allleader maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-314.32728}  
Iteration 1:{space 3}log pseudolikelihood = {res:-269.45793}  
Iteration 2:{space 3}log pseudolikelihood = {res:-260.42087}  
Iteration 3:{space 3}log pseudolikelihood = {res:-260.36689}  
Iteration 4:{space 3}log pseudolikelihood = {res:-260.36677}  
Iteration 5:{space 3}log pseudolikelihood = {res:-260.36677}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}29{txt}){col 67}= {res}    148.52
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-260.36677{txt}{col 49}Pseudo R2{col 67}= {res}    0.1717

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}seniority {c |}{col 19}{res}{space 2} .0030394{col 31}{space 2} .0330928{col 42}{space 1}    0.09{col 51}{space 3}0.927{col 59}{space 4}-.0618212{col 72}{space 3} .0679001
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .2062256{col 31}{space 2} .3649891{col 42}{space 1}    0.57{col 51}{space 3}0.572{col 59}{space 4}  -.50914{col 72}{space 3} .9215911
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}  .141182{col 31}{space 2} .4185498{col 42}{space 1}    0.34{col 51}{space 3}0.736{col 59}{space 4}-.6791605{col 72}{space 3} .9615245
{txt}{space 12}power {c |}{col 19}{res}{space 2} .4616206{col 31}{space 2} .3503675{col 42}{space 1}    1.32{col 51}{space 3}0.188{col 59}{space 4}-.2250871{col 72}{space 3} 1.148328
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} .0732073{col 31}{space 2} .7427868{col 42}{space 1}    0.10{col 51}{space 3}0.921{col 59}{space 4}-1.382628{col 72}{space 3} 1.529043
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-2.050812{col 31}{space 2} .2860637{col 42}{space 1}   -7.17{col 51}{space 3}0.000{col 59}{space 4}-2.611486{col 72}{space 3}-1.490137
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.069894{col 31}{space 2} .6464048{col 42}{space 1}    1.66{col 51}{space 3}0.098{col 59}{space 4}-.1970364{col 72}{space 3} 2.336824
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0102312{col 31}{space 2} .0106404{col 42}{space 1}   -0.96{col 51}{space 3}0.336{col 59}{space 4}-.0310861{col 72}{space 3} .0106237
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8226685{col 31}{space 2}  .351651{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4} .1334453{col 72}{space 3} 1.511892
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1927167{col 31}{space 2} .4129276{col 42}{space 1}    0.47{col 51}{space 3}0.641{col 59}{space 4}-.6166065{col 72}{space 3}  1.00204
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0802235{col 31}{space 2} .3179064{col 42}{space 1}   -0.25{col 51}{space 3}0.801{col 59}{space 4}-.7033086{col 72}{space 3} .5428615
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1954636{col 31}{space 2} .7406952{col 42}{space 1}    0.26{col 51}{space 3}0.792{col 59}{space 4}-1.256272{col 72}{space 3} 1.647199
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3379942{col 31}{space 2} .8075518{col 42}{space 1}    0.42{col 51}{space 3}0.676{col 59}{space 4}-1.244778{col 72}{space 3} 1.920767
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6175273{col 31}{space 2} .8992809{col 42}{space 1}    0.69{col 51}{space 3}0.492{col 59}{space 4}-1.145031{col 72}{space 3} 2.380085
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.028727{col 31}{space 2} 1.175595{col 42}{space 1}    0.88{col 51}{space 3}0.382{col 59}{space 4}-1.275397{col 72}{space 3} 3.332851
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.269565{col 31}{space 2} 1.131114{col 42}{space 1}    1.12{col 51}{space 3}0.262{col 59}{space 4}-.9473781{col 72}{space 3} 3.486509
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8164789{col 31}{space 2} .6323954{col 42}{space 1}   -1.29{col 51}{space 3}0.197{col 59}{space 4}-2.055951{col 72}{space 3} .4229934
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4366861{col 31}{space 2} .7624501{col 42}{space 1}    0.57{col 51}{space 3}0.567{col 59}{space 4}-1.057689{col 72}{space 3} 1.931061
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .6503327{col 31}{space 2} .8902021{col 42}{space 1}    0.73{col 51}{space 3}0.465{col 59}{space 4}-1.094431{col 72}{space 3} 2.395097
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .9445525{col 31}{space 2} 1.150959{col 42}{space 1}    0.82{col 51}{space 3}0.412{col 59}{space 4}-1.311286{col 72}{space 3} 3.200391
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1140789{col 31}{space 2} .8829154{col 42}{space 1}   -0.13{col 51}{space 3}0.897{col 59}{space 4}-1.844561{col 72}{space 3} 1.616403
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.2934304{col 31}{space 2} .7950687{col 42}{space 1}   -0.37{col 51}{space 3}0.712{col 59}{space 4}-1.851736{col 72}{space 3} 1.264876
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .7058479{col 31}{space 2} .9229647{col 42}{space 1}    0.76{col 51}{space 3}0.444{col 59}{space 4} -1.10313{col 72}{space 3} 2.514826
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .5894824{col 31}{space 2} .9028765{col 42}{space 1}    0.65{col 51}{space 3}0.514{col 59}{space 4}-1.180123{col 72}{space 3} 2.359088
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .0970149{col 31}{space 2} .8000346{col 42}{space 1}    0.12{col 51}{space 3}0.903{col 59}{space 4}-1.471024{col 72}{space 3} 1.665054
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .2878354{col 31}{space 2} .7761017{col 42}{space 1}    0.37{col 51}{space 3}0.711{col 59}{space 4}-1.233296{col 72}{space 3} 1.808967
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .2878694{col 31}{space 2} .7730327{col 42}{space 1}    0.37{col 51}{space 3}0.710{col 59}{space 4}-1.227247{col 72}{space 3} 1.802986
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.0816485{col 31}{space 2} .7603951{col 42}{space 1}   -0.11{col 51}{space 3}0.914{col 59}{space 4}-1.571996{col 72}{space 3} 1.408698
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}  .616425{col 31}{space 2} .8115984{col 42}{space 1}    0.76{col 51}{space 3}0.448{col 59}{space 4}-.9742787{col 72}{space 3} 2.207129
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.615145{col 31}{space 2} .7722095{col 42}{space 1}    3.39{col 51}{space 3}0.001{col 59}{space 4} 1.101642{col 72}{space 3} 4.128647
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE A9: 
. * MODEL A9.1: 
. logit priwin expectation seniority majority comsubchair power allleader maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-309.51188}  
Iteration 2:{space 3}log pseudolikelihood = {res:-287.41527}  
Iteration 3:{space 3}log pseudolikelihood = {res:-286.61802}  
Iteration 4:{space 3}log pseudolikelihood = {res:-286.61547}  
Iteration 5:{space 3}log pseudolikelihood = {res:-286.61547}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    331.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-286.61547{txt}{col 49}Pseudo R2{col 67}= {res}    0.2770

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3639251{col 31}{space 2} .1982838{col 42}{space 1}    1.84{col 51}{space 3}0.066{col 59}{space 4} -.024704{col 72}{space 3} .7525543
{txt}{space 8}seniority {c |}{col 19}{res}{space 2}-.0007198{col 31}{space 2} .0330193{col 42}{space 1}   -0.02{col 51}{space 3}0.983{col 59}{space 4}-.0654365{col 72}{space 3} .0639968
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .2449865{col 31}{space 2} .3688189{col 42}{space 1}    0.66{col 51}{space 3}0.507{col 59}{space 4}-.4778853{col 72}{space 3} .9678583
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.0567267{col 31}{space 2} .4356046{col 42}{space 1}   -0.13{col 51}{space 3}0.896{col 59}{space 4} -.910496{col 72}{space 3} .7970426
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5111799{col 31}{space 2} .3533983{col 42}{space 1}    1.45{col 51}{space 3}0.148{col 59}{space 4} -.181468{col 72}{space 3} 1.203828
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0809054{col 31}{space 2} .7390417{col 42}{space 1}   -0.11{col 51}{space 3}0.913{col 59}{space 4}  -1.5294{col 72}{space 3}  1.36759
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.187087{col 31}{space 2} .3135564{col 42}{space 1}  -10.16{col 51}{space 3}0.000{col 59}{space 4}-3.801646{col 72}{space 3}-2.572528
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.451133{col 31}{space 2} .6570768{col 42}{space 1}    2.21{col 51}{space 3}0.027{col 59}{space 4} .1632862{col 72}{space 3}  2.73898
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0146995{col 31}{space 2} .0104752{col 42}{space 1}   -1.40{col 51}{space 3}0.161{col 59}{space 4}-.0352305{col 72}{space 3} .0058314
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8897483{col 31}{space 2}  .355686{col 42}{space 1}    2.50{col 51}{space 3}0.012{col 59}{space 4} .1926166{col 72}{space 3}  1.58688
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1610284{col 31}{space 2} .4306971{col 42}{space 1}    0.37{col 51}{space 3}0.708{col 59}{space 4}-.6831225{col 72}{space 3} 1.005179
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} -.202465{col 31}{space 2} .3146895{col 42}{space 1}   -0.64{col 51}{space 3}0.520{col 59}{space 4} -.819245{col 72}{space 3}  .414315
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2344419{col 31}{space 2} .7734723{col 42}{space 1}    0.30{col 51}{space 3}0.762{col 59}{space 4}-1.281536{col 72}{space 3}  1.75042
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .2870812{col 31}{space 2} .8237745{col 42}{space 1}    0.35{col 51}{space 3}0.727{col 59}{space 4}-1.327487{col 72}{space 3}  1.90165
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6299487{col 31}{space 2} .9036402{col 42}{space 1}    0.70{col 51}{space 3}0.486{col 59}{space 4}-1.141153{col 72}{space 3} 2.401051
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.240567{col 31}{space 2}  1.17989{col 42}{space 1}    1.05{col 51}{space 3}0.293{col 59}{space 4}-1.071975{col 72}{space 3} 3.553109
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.306157{col 31}{space 2} 1.132568{col 42}{space 1}    1.15{col 51}{space 3}0.249{col 59}{space 4}-.9136345{col 72}{space 3} 3.525949
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8799715{col 31}{space 2} .6371035{col 42}{space 1}   -1.38{col 51}{space 3}0.167{col 59}{space 4}-2.128671{col 72}{space 3} .3687285
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}  .473529{col 31}{space 2} .7733495{col 42}{space 1}    0.61{col 51}{space 3}0.540{col 59}{space 4}-1.042208{col 72}{space 3} 1.989266
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .6717523{col 31}{space 2} .8873456{col 42}{space 1}    0.76{col 51}{space 3}0.449{col 59}{space 4}-1.067413{col 72}{space 3} 2.410918
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 1.185346{col 31}{space 2} 1.121994{col 42}{space 1}    1.06{col 51}{space 3}0.291{col 59}{space 4}-1.013722{col 72}{space 3} 3.384413
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .0796866{col 31}{space 2} .8572603{col 42}{space 1}    0.09{col 51}{space 3}0.926{col 59}{space 4}-1.600513{col 72}{space 3} 1.759886
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.1766958{col 31}{space 2} .7863358{col 42}{space 1}   -0.22{col 51}{space 3}0.822{col 59}{space 4}-1.717886{col 72}{space 3} 1.364494
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .7534066{col 31}{space 2} .9319825{col 42}{space 1}    0.81{col 51}{space 3}0.419{col 59}{space 4}-1.073246{col 72}{space 3} 2.580059
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .6427671{col 31}{space 2}  .897582{col 42}{space 1}    0.72{col 51}{space 3}0.474{col 59}{space 4}-1.116461{col 72}{space 3} 2.401996
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .0965616{col 31}{space 2} .8026527{col 42}{space 1}    0.12{col 51}{space 3}0.904{col 59}{space 4}-1.476609{col 72}{space 3} 1.669732
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1507223{col 31}{space 2} .7815264{col 42}{space 1}    0.19{col 51}{space 3}0.847{col 59}{space 4}-1.381041{col 72}{space 3} 1.682486
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0901874{col 31}{space 2} .7875837{col 42}{space 1}    0.11{col 51}{space 3}0.909{col 59}{space 4}-1.453448{col 72}{space 3} 1.633823
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3016977{col 31}{space 2} .7633607{col 42}{space 1}   -0.40{col 51}{space 3}0.693{col 59}{space 4}-1.797857{col 72}{space 3} 1.194462
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3922668{col 31}{space 2} .8278853{col 42}{space 1}    0.47{col 51}{space 3}0.636{col 59}{space 4}-1.230358{col 72}{space 3} 2.014892
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.999087{col 31}{space 2} .8676412{col 42}{space 1}    3.46{col 51}{space 3}0.001{col 59}{space 4} 1.298541{col 72}{space 3} 4.699632
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A9.2: 
. logit priwin i.expectation seniority majority comsubchair power allleader maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-309.44751}  
Iteration 2:{space 3}log pseudolikelihood = {res:-287.08829}  
Iteration 3:{space 3}log pseudolikelihood = {res:-286.29271}  
Iteration 4:{space 3}log pseudolikelihood = {res:-286.28994}  
Iteration 5:{space 3}log pseudolikelihood = {res:-286.28994}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}    336.64
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-286.28994{txt}{col 49}Pseudo R2{col 67}= {res}    0.2779

{txt}{ralign 87:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               priwin{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2} .5487872{col 35}{space 2} .3028383{col 46}{space 1}    1.81{col 55}{space 3}0.070{col 63}{space 4} -.044765{col 76}{space 3} 1.142339
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2} .6256872{col 35}{space 2} .3902283{col 46}{space 1}    1.60{col 55}{space 3}0.109{col 63}{space 4}-.1391462{col 76}{space 3} 1.390521
{txt}{space 21} {c |}
{space 12}seniority {c |}{col 23}{res}{space 2}-.0024932{col 35}{space 2} .0334379{col 46}{space 1}   -0.07{col 55}{space 3}0.941{col 63}{space 4}-.0680304{col 76}{space 3} .0630439
{txt}{space 13}majority {c |}{col 23}{res}{space 2}  .229917{col 35}{space 2} .3722082{col 46}{space 1}    0.62{col 55}{space 3}0.537{col 63}{space 4}-.4995978{col 76}{space 3} .9594317
{txt}{space 10}comsubchair {c |}{col 23}{res}{space 2}-.0703347{col 35}{space 2} .4349238{col 46}{space 1}   -0.16{col 55}{space 3}0.872{col 63}{space 4}-.9227698{col 76}{space 3} .7821003
{txt}{space 16}power {c |}{col 23}{res}{space 2} .5138481{col 35}{space 2} .3553302{col 46}{space 1}    1.45{col 55}{space 3}0.148{col 63}{space 4}-.1825862{col 76}{space 3} 1.210282
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.0614632{col 35}{space 2} .7400761{col 46}{space 1}   -0.08{col 55}{space 3}0.934{col 63}{space 4}-1.511986{col 76}{space 3} 1.389059
{txt}{space 9}maxqualchall {c |}{col 23}{res}{space 2}-3.186362{col 35}{space 2}  .312479{col 46}{space 1}  -10.20{col 55}{space 3}0.000{col 63}{space 4}-3.798809{col 76}{space 3}-2.573914
{txt}{space 11}pripct_lag {c |}{col 23}{res}{space 2} 1.472585{col 35}{space 2} .6558117{col 46}{space 1}    2.25{col 55}{space 3}0.025{col 63}{space 4} .1872178{col 76}{space 3} 2.757952
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2}-.0145971{col 35}{space 2} .0104077{col 46}{space 1}   -1.40{col 55}{space 3}0.161{col 63}{space 4}-.0349958{col 76}{space 3} .0058017
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2} .8963212{col 35}{space 2} .3555343{col 46}{space 1}    2.52{col 55}{space 3}0.012{col 63}{space 4} .1994868{col 76}{space 3} 1.593156
{txt}{space 15}gender {c |}{col 23}{res}{space 2} .1334477{col 35}{space 2} .4378936{col 46}{space 1}    0.30{col 55}{space 3}0.761{col 63}{space 4} -.724808{col 76}{space 3} .9917035
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2}-.2012325{col 35}{space 2} .3155191{col 46}{space 1}   -0.64{col 55}{space 3}0.524{col 63}{space 4}-.8196386{col 76}{space 3} .4171736
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .2152064{col 35}{space 2} .7750633{col 46}{space 1}    0.28{col 55}{space 3}0.781{col 63}{space 4} -1.30389{col 76}{space 3} 1.734302
{txt}{space 16}1984  {c |}{col 23}{res}{space 2} .2803072{col 35}{space 2} .8265609{col 46}{space 1}    0.34{col 55}{space 3}0.735{col 63}{space 4}-1.339722{col 76}{space 3} 1.900337
{txt}{space 16}1986  {c |}{col 23}{res}{space 2} .6186565{col 35}{space 2} .9003096{col 46}{space 1}    0.69{col 55}{space 3}0.492{col 63}{space 4}-1.145918{col 76}{space 3} 2.383231
{txt}{space 16}1988  {c |}{col 23}{res}{space 2} 1.250235{col 35}{space 2} 1.180548{col 46}{space 1}    1.06{col 55}{space 3}0.290{col 63}{space 4}-1.063596{col 76}{space 3} 3.564066
{txt}{space 16}1990  {c |}{col 23}{res}{space 2} 1.317106{col 35}{space 2} 1.132945{col 46}{space 1}    1.16{col 55}{space 3}0.245{col 63}{space 4}-.9034257{col 76}{space 3} 3.537638
{txt}{space 16}1992  {c |}{col 23}{res}{space 2}-.8996576{col 35}{space 2} .6341535{col 46}{space 1}   -1.42{col 55}{space 3}0.156{col 63}{space 4}-2.142576{col 76}{space 3} .3432604
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .4636246{col 35}{space 2} .7715968{col 46}{space 1}    0.60{col 55}{space 3}0.548{col 63}{space 4}-1.048677{col 76}{space 3} 1.975927
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .6655564{col 35}{space 2} .8861619{col 46}{space 1}    0.75{col 55}{space 3}0.453{col 63}{space 4}-1.071289{col 76}{space 3} 2.402402
{txt}{space 16}1998  {c |}{col 23}{res}{space 2} 1.193907{col 35}{space 2} 1.118538{col 46}{space 1}    1.07{col 55}{space 3}0.286{col 63}{space 4} -.998387{col 76}{space 3}   3.3862
{txt}{space 16}2000  {c |}{col 23}{res}{space 2} .0789813{col 35}{space 2} .8563995{col 46}{space 1}    0.09{col 55}{space 3}0.927{col 63}{space 4}-1.599531{col 76}{space 3} 1.757493
{txt}{space 16}2002  {c |}{col 23}{res}{space 2}-.2009302{col 35}{space 2} .7871195{col 46}{space 1}   -0.26{col 55}{space 3}0.799{col 63}{space 4}-1.743656{col 76}{space 3} 1.341796
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .7307849{col 35}{space 2} .9327787{col 46}{space 1}    0.78{col 55}{space 3}0.433{col 63}{space 4}-1.097428{col 76}{space 3} 2.558998
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .6371795{col 35}{space 2} .8913227{col 46}{space 1}    0.71{col 55}{space 3}0.475{col 63}{space 4}-1.109781{col 76}{space 3}  2.38414
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .0588023{col 35}{space 2} .8045053{col 46}{space 1}    0.07{col 55}{space 3}0.942{col 63}{space 4}-1.517999{col 76}{space 3} 1.635604
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .1499772{col 35}{space 2} .7817378{col 46}{space 1}    0.19{col 55}{space 3}0.848{col 63}{space 4}-1.382201{col 76}{space 3} 1.682155
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .0863376{col 35}{space 2} .7864766{col 46}{space 1}    0.11{col 55}{space 3}0.913{col 63}{space 4}-1.455128{col 76}{space 3} 1.627803
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.3114641{col 35}{space 2} .7595577{col 46}{space 1}   -0.41{col 55}{space 3}0.682{col 63}{space 4} -1.80017{col 76}{space 3} 1.177242
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .3749793{col 35}{space 2} .8254374{col 46}{space 1}    0.45{col 55}{space 3}0.650{col 63}{space 4}-1.242848{col 76}{space 3} 1.992807
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} 3.331039{col 35}{space 2} .8065343{col 46}{space 1}    4.13{col 55}{space 3}0.000{col 63}{space 4} 1.750261{col 76}{space 3} 4.911817
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A9.3: 
. logit priwin les seniority majority comsubchair power allleader maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT, cluster(bonicaridDT) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-308.60319}  
Iteration 2:{space 3}log pseudolikelihood = {res:-284.75171}  
Iteration 3:{space 3}log pseudolikelihood = {res: -283.5111}  
Iteration 4:{space 3}log pseudolikelihood = {res: -283.4944}  
Iteration 5:{space 3}log pseudolikelihood = {res: -283.4944}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    334.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -283.4944{txt}{col 49}Pseudo R2{col 67}= {res}    0.2849

{txt}{ralign 83:(Std. Err. adjusted for {res:1,564} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}les {c |}{col 19}{res}{space 2} .4829912{col 31}{space 2} .1947432{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} .1013016{col 72}{space 3} .8646809
{txt}{space 8}seniority {c |}{col 19}{res}{space 2} -.036167{col 31}{space 2} .0341059{col 42}{space 1}   -1.06{col 51}{space 3}0.289{col 59}{space 4}-.1030133{col 72}{space 3} .0306792
{txt}{space 9}majority {c |}{col 19}{res}{space 2} .0226117{col 31}{space 2} .3716827{col 42}{space 1}    0.06{col 51}{space 3}0.951{col 59}{space 4}-.7058731{col 72}{space 3} .7510965
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2}-.3503443{col 31}{space 2}  .441275{col 42}{space 1}   -0.79{col 51}{space 3}0.427{col 59}{space 4}-1.215227{col 72}{space 3} .5145388
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5872416{col 31}{space 2} .3640085{col 42}{space 1}    1.61{col 51}{space 3}0.107{col 59}{space 4} -.126202{col 72}{space 3} 1.300685
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0322188{col 31}{space 2} .7504587{col 42}{space 1}   -0.04{col 51}{space 3}0.966{col 59}{space 4}-1.503091{col 72}{space 3} 1.438653
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.176567{col 31}{space 2} .3179413{col 42}{space 1}   -9.99{col 51}{space 3}0.000{col 59}{space 4} -3.79972{col 72}{space 3}-2.553413
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.430586{col 31}{space 2} .6645126{col 42}{space 1}    2.15{col 51}{space 3}0.031{col 59}{space 4} .1281648{col 72}{space 3} 2.733006
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0144296{col 31}{space 2} .0105303{col 42}{space 1}   -1.37{col 51}{space 3}0.171{col 59}{space 4}-.0350686{col 72}{space 3} .0062095
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8332495{col 31}{space 2} .3555624{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4}   .13636{col 72}{space 3} 1.530139
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1684258{col 31}{space 2}  .425258{col 42}{space 1}    0.40{col 51}{space 3}0.692{col 59}{space 4}-.6650645{col 72}{space 3} 1.001916
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.2315186{col 31}{space 2} .3172718{col 42}{space 1}   -0.73{col 51}{space 3}0.466{col 59}{space 4}  -.85336{col 72}{space 3} .3903228
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1773145{col 31}{space 2} .7700505{col 42}{space 1}    0.23{col 51}{space 3}0.818{col 59}{space 4}-1.331957{col 72}{space 3} 1.686586
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3681044{col 31}{space 2} .8194376{col 42}{space 1}    0.45{col 51}{space 3}0.653{col 59}{space 4}-1.237964{col 72}{space 3} 1.974173
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .7273883{col 31}{space 2} .9200593{col 42}{space 1}    0.79{col 51}{space 3}0.429{col 59}{space 4}-1.075895{col 72}{space 3} 2.530671
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.372263{col 31}{space 2} 1.198542{col 42}{space 1}    1.14{col 51}{space 3}0.252{col 59}{space 4}-.9768365{col 72}{space 3} 3.721362
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.456018{col 31}{space 2} 1.150834{col 42}{space 1}    1.27{col 51}{space 3}0.206{col 59}{space 4}-.7995764{col 72}{space 3} 3.711612
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.7305296{col 31}{space 2}  .647348{col 42}{space 1}   -1.13{col 51}{space 3}0.259{col 59}{space 4}-1.999308{col 72}{space 3} .5382492
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .5572588{col 31}{space 2} .7783172{col 42}{space 1}    0.72{col 51}{space 3}0.474{col 59}{space 4}-.9682149{col 72}{space 3} 2.082732
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .7538004{col 31}{space 2} .8890122{col 42}{space 1}    0.85{col 51}{space 3}0.396{col 59}{space 4}-.9886316{col 72}{space 3} 2.496232
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 1.268431{col 31}{space 2} 1.097894{col 42}{space 1}    1.16{col 51}{space 3}0.248{col 59}{space 4}-.8834019{col 72}{space 3} 3.420263
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .1514096{col 31}{space 2}  .870292{col 42}{space 1}    0.17{col 51}{space 3}0.862{col 59}{space 4}-1.554331{col 72}{space 3} 1.857151
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.0662136{col 31}{space 2} .7867319{col 42}{space 1}   -0.08{col 51}{space 3}0.933{col 59}{space 4} -1.60818{col 72}{space 3} 1.475753
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .8545523{col 31}{space 2} .9325201{col 42}{space 1}    0.92{col 51}{space 3}0.359{col 59}{space 4}-.9731536{col 72}{space 3} 2.682258
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .7147137{col 31}{space 2} .8978743{col 42}{space 1}    0.80{col 51}{space 3}0.426{col 59}{space 4}-1.045088{col 72}{space 3} 2.474515
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .2532802{col 31}{space 2} .8084334{col 42}{space 1}    0.31{col 51}{space 3}0.754{col 59}{space 4} -1.33122{col 72}{space 3} 1.837781
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .2352589{col 31}{space 2} .7823395{col 42}{space 1}    0.30{col 51}{space 3}0.764{col 59}{space 4}-1.298098{col 72}{space 3} 1.768616
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .2456866{col 31}{space 2} .8012518{col 42}{space 1}    0.31{col 51}{space 3}0.759{col 59}{space 4}-1.324738{col 72}{space 3} 1.816111
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.1965868{col 31}{space 2} .7791068{col 42}{space 1}   -0.25{col 51}{space 3}0.801{col 59}{space 4}-1.723608{col 72}{space 3} 1.330434
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .5043324{col 31}{space 2} .8372658{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4}-1.136678{col 72}{space 3} 2.145343
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.594027{col 31}{space 2} .8029315{col 42}{space 1}    4.48{col 51}{space 3}0.000{col 59}{space 4}  2.02031{col 72}{space 3} 5.167744
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A9.4: 
. logit priwin expectation seniority majority comsubchair power allleader maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender termlimit i.yearDT if priuo!=1, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-314.32728}  
Iteration 1:{space 3}log pseudolikelihood = {res:-268.42094}  
Iteration 2:{space 3}log pseudolikelihood = {res: -258.5549}  
Iteration 3:{space 3}log pseudolikelihood = {res:-258.47646}  
Iteration 4:{space 3}log pseudolikelihood = {res:-258.47625}  
Iteration 5:{space 3}log pseudolikelihood = {res:-258.47625}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    149.43
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-258.47625{txt}{col 49}Pseudo R2{col 67}= {res}    0.1777

{txt}{ralign 83:(Std. Err. adjusted for {res:952} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3400052{col 31}{space 2} .1951895{col 42}{space 1}    1.74{col 51}{space 3}0.082{col 59}{space 4}-.0425593{col 72}{space 3} .7225696
{txt}{space 8}seniority {c |}{col 19}{res}{space 2} .0023752{col 31}{space 2} .0328344{col 42}{space 1}    0.07{col 51}{space 3}0.942{col 59}{space 4}-.0619791{col 72}{space 3} .0667294
{txt}{space 9}majority {c |}{col 19}{res}{space 2}   .26431{col 31}{space 2} .3693881{col 42}{space 1}    0.72{col 51}{space 3}0.474{col 59}{space 4}-.4596775{col 72}{space 3} .9882974
{txt}{space 6}comsubchair {c |}{col 19}{res}{space 2} .0673703{col 31}{space 2} .4263242{col 42}{space 1}    0.16{col 51}{space 3}0.874{col 59}{space 4}-.7682098{col 72}{space 3} .9029505
{txt}{space 12}power {c |}{col 19}{res}{space 2} .4908638{col 31}{space 2} .3482779{col 42}{space 1}    1.41{col 51}{space 3}0.159{col 59}{space 4}-.1917483{col 72}{space 3} 1.173476
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} .0504046{col 31}{space 2} .7373631{col 42}{space 1}    0.07{col 51}{space 3}0.946{col 59}{space 4}-1.394801{col 72}{space 3}  1.49561
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-2.050306{col 31}{space 2} .2854064{col 42}{space 1}   -7.18{col 51}{space 3}0.000{col 59}{space 4}-2.609693{col 72}{space 3} -1.49092
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.102309{col 31}{space 2} .6455613{col 42}{space 1}    1.71{col 51}{space 3}0.088{col 59}{space 4}-.1629675{col 72}{space 3} 2.367586
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0085716{col 31}{space 2} .0104571{col 42}{space 1}   -0.82{col 51}{space 3}0.412{col 59}{space 4}-.0290671{col 72}{space 3} .0119239
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8211855{col 31}{space 2} .3555029{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .1244127{col 72}{space 3} 1.517958
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .2017136{col 31}{space 2} .4225762{col 42}{space 1}    0.48{col 51}{space 3}0.633{col 59}{space 4}-.6265206{col 72}{space 3} 1.029948
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0930746{col 31}{space 2} .3184667{col 42}{space 1}   -0.29{col 51}{space 3}0.770{col 59}{space 4}-.7172578{col 72}{space 3} .5311086
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2286905{col 31}{space 2}  .760255{col 42}{space 1}    0.30{col 51}{space 3}0.764{col 59}{space 4}-1.261382{col 72}{space 3} 1.718763
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3625762{col 31}{space 2} .8180758{col 42}{space 1}    0.44{col 51}{space 3}0.658{col 59}{space 4}-1.240823{col 72}{space 3} 1.965975
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .6289531{col 31}{space 2} .9027067{col 42}{space 1}    0.70{col 51}{space 3}0.486{col 59}{space 4}-1.140319{col 72}{space 3} 2.398226
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.101879{col 31}{space 2} 1.181677{col 42}{space 1}    0.93{col 51}{space 3}0.351{col 59}{space 4}-1.214164{col 72}{space 3} 3.417922
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.277473{col 31}{space 2} 1.127815{col 42}{space 1}    1.13{col 51}{space 3}0.257{col 59}{space 4}-.9330037{col 72}{space 3} 3.487949
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8316715{col 31}{space 2} .6328605{col 42}{space 1}   -1.31{col 51}{space 3}0.189{col 59}{space 4}-2.072055{col 72}{space 3} .4087123
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4602509{col 31}{space 2} .7672376{col 42}{space 1}    0.60{col 51}{space 3}0.549{col 59}{space 4}-1.043507{col 72}{space 3} 1.964009
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .6844223{col 31}{space 2} .8914524{col 42}{space 1}    0.77{col 51}{space 3}0.443{col 59}{space 4}-1.062792{col 72}{space 3} 2.431637
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .9784068{col 31}{space 2} 1.137584{col 42}{space 1}    0.86{col 51}{space 3}0.390{col 59}{space 4}-1.251218{col 72}{space 3} 3.208031
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.1223241{col 31}{space 2} .8708814{col 42}{space 1}   -0.14{col 51}{space 3}0.888{col 59}{space 4} -1.82922{col 72}{space 3} 1.584572
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.2738012{col 31}{space 2} .7981584{col 42}{space 1}   -0.34{col 51}{space 3}0.732{col 59}{space 4}-1.838163{col 72}{space 3} 1.290561
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .6773841{col 31}{space 2} .9342864{col 42}{space 1}    0.73{col 51}{space 3}0.468{col 59}{space 4}-1.153784{col 72}{space 3} 2.508552
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .5917614{col 31}{space 2} .9104093{col 42}{space 1}    0.65{col 51}{space 3}0.516{col 59}{space 4}-1.192608{col 72}{space 3} 2.376131
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}  .037812{col 31}{space 2} .8022014{col 42}{space 1}    0.05{col 51}{space 3}0.962{col 59}{space 4}-1.534474{col 72}{space 3} 1.610098
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .2548871{col 31}{space 2} .7842317{col 42}{space 1}    0.33{col 51}{space 3}0.745{col 59}{space 4}-1.282179{col 72}{space 3} 1.791953
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .2505139{col 31}{space 2} .7768712{col 42}{space 1}    0.32{col 51}{space 3}0.747{col 59}{space 4}-1.272126{col 72}{space 3} 1.773153
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} -.093189{col 31}{space 2} .7606327{col 42}{space 1}   -0.12{col 51}{space 3}0.902{col 59}{space 4}-1.584002{col 72}{space 3} 1.397624
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}  .558182{col 31}{space 2} .8165481{col 42}{space 1}    0.68{col 51}{space 3}0.494{col 59}{space 4}-1.042223{col 72}{space 3} 2.158587
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 1.979959{col 31}{space 2} .8611484{col 42}{space 1}    2.30{col 51}{space 3}0.021{col 59}{space 4}  .292139{col 72}{space 3} 3.667778
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A10
. * MODEL A10.1: 
. firthlogit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-371.67771}
rescale:{col 16}penalized log likelihood = {res:-371.67771}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-371.67771}  
Iteration 1:{space 3}penalized log likelihood = {res:-288.34284}  
Iteration 2:{space 3}penalized log likelihood = {res:  -263.704}  
Iteration 3:{space 3}penalized log likelihood = {res:-263.15285}  
Iteration 4:{space 3}penalized log likelihood = {res:-263.14943}  
Iteration 5:{space 3}penalized log likelihood = {res:-263.14943}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    213.28
{txt}Penalized log likelihood = {res}-263.14943{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3423327{col 31}{space 2} .1754456{col 42}{space 1}    1.95{col 51}{space 3}0.051{col 59}{space 4}-.0015345{col 72}{space 3} .6861998
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.119522{col 31}{space 2}  .267974{col 42}{space 1}  -11.64{col 51}{space 3}0.000{col 59}{space 4}-3.644742{col 72}{space 3}-2.594303
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.345719{col 31}{space 2}   .52524{col 42}{space 1}    2.56{col 51}{space 3}0.010{col 59}{space 4} .3162671{col 72}{space 3}  2.37517
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0144249{col 31}{space 2} .0096672{col 42}{space 1}   -1.49{col 51}{space 3}0.136{col 59}{space 4}-.0333723{col 72}{space 3} .0045224
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8409135{col 31}{space 2} .3469564{col 42}{space 1}    2.42{col 51}{space 3}0.015{col 59}{space 4} .1608914{col 72}{space 3} 1.520936
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .0887475{col 31}{space 2} .3933671{col 42}{space 1}    0.23{col 51}{space 3}0.822{col 59}{space 4}-.6822378{col 72}{space 3} .8597329
{txt}{space 12}power {c |}{col 19}{res}{space 2} .4843558{col 31}{space 2} .3428628{col 42}{space 1}    1.41{col 51}{space 3}0.158{col 59}{space 4} -.187643{col 72}{space 3} 1.156355
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.2812019{col 31}{space 2} .6769397{col 42}{space 1}   -0.42{col 51}{space 3}0.678{col 59}{space 4}-1.607979{col 72}{space 3} 1.045576
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.2112237{col 31}{space 2} .3032147{col 42}{space 1}   -0.70{col 51}{space 3}0.486{col 59}{space 4}-.8055137{col 72}{space 3} .3830662
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2003354{col 31}{space 2} .6834474{col 42}{space 1}    0.29{col 51}{space 3}0.769{col 59}{space 4}-1.139197{col 72}{space 3} 1.539868
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}  .238453{col 31}{space 2} .7273635{col 42}{space 1}    0.33{col 51}{space 3}0.743{col 59}{space 4}-1.187153{col 72}{space 3} 1.664059
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .5231832{col 31}{space 2} .8027813{col 42}{space 1}    0.65{col 51}{space 3}0.515{col 59}{space 4}-1.050239{col 72}{space 3} 2.096606
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} .9401948{col 31}{space 2} .9578748{col 42}{space 1}    0.98{col 51}{space 3}0.326{col 59}{space 4}-.9372053{col 72}{space 3} 2.817595
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.007369{col 31}{space 2} .9553902{col 42}{space 1}    1.05{col 51}{space 3}0.292{col 59}{space 4}-.8651613{col 72}{space 3} 2.879899
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.8123138{col 31}{space 2} .5693507{col 42}{space 1}   -1.43{col 51}{space 3}0.154{col 59}{space 4}-1.928221{col 72}{space 3} .3035929
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4317549{col 31}{space 2} .6910207{col 42}{space 1}    0.62{col 51}{space 3}0.532{col 59}{space 4}-.9226208{col 72}{space 3}  1.78613
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .4737996{col 31}{space 2} .8139603{col 42}{space 1}    0.58{col 51}{space 3}0.561{col 59}{space 4}-1.121533{col 72}{space 3} 2.069133
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .8222414{col 31}{space 2} .9709887{col 42}{space 1}    0.85{col 51}{space 3}0.397{col 59}{space 4}-1.080861{col 72}{space 3} 2.725344
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.0483857{col 31}{space 2} .7465277{col 42}{space 1}   -0.06{col 51}{space 3}0.948{col 59}{space 4}-1.511553{col 72}{space 3} 1.414782
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.2571669{col 31}{space 2}  .713855{col 42}{space 1}   -0.36{col 51}{space 3}0.719{col 59}{space 4}-1.656297{col 72}{space 3} 1.141963
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .5476657{col 31}{space 2} .8205535{col 42}{space 1}    0.67{col 51}{space 3}0.504{col 59}{space 4} -1.06059{col 72}{space 3} 2.155921
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .4692463{col 31}{space 2} .8264191{col 42}{space 1}    0.57{col 51}{space 3}0.570{col 59}{space 4}-1.150505{col 72}{space 3} 2.088998
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .0503638{col 31}{space 2} .7056703{col 42}{space 1}    0.07{col 51}{space 3}0.943{col 59}{space 4}-1.332725{col 72}{space 3} 1.433452
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1057726{col 31}{space 2} .7062872{col 42}{space 1}    0.15{col 51}{space 3}0.881{col 59}{space 4}-1.278525{col 72}{space 3}  1.49007
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0300582{col 31}{space 2} .6801377{col 42}{space 1}    0.04{col 51}{space 3}0.965{col 59}{space 4}-1.302987{col 72}{space 3} 1.363104
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3336785{col 31}{space 2} .6890645{col 42}{space 1}   -0.48{col 51}{space 3}0.628{col 59}{space 4} -1.68422{col 72}{space 3} 1.016863
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3124201{col 31}{space 2} .7237438{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-1.106092{col 72}{space 3} 1.730932
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.132119{col 31}{space 2} .6877906{col 42}{space 1}    4.55{col 51}{space 3}0.000{col 59}{space 4} 1.784074{col 72}{space 3} 4.480163
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A10.2: 
. firthlogit priwin i.expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-370.98499}
rescale:{col 16}penalized log likelihood = {res:-370.98499}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-370.98499}  
Iteration 1:{space 3}penalized log likelihood = {res:-288.21758}  
Iteration 2:{space 3}penalized log likelihood = {res:-262.96884}  
Iteration 3:{space 3}penalized log likelihood = {res:-262.13269}  
Iteration 4:{space 3}penalized log likelihood = {res:-262.12664}  
Iteration 5:{space 3}penalized log likelihood = {res:-262.12664}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    212.84
{txt}Penalized log likelihood = {res}-262.12664{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               priwin{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2} .5292519{col 35}{space 2} .2833124{col 46}{space 1}    1.87{col 55}{space 3}0.062{col 63}{space 4}-.0260302{col 76}{space 3} 1.084534
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2} .5620574{col 35}{space 2} .3531554{col 46}{space 1}    1.59{col 55}{space 3}0.111{col 63}{space 4}-.1301144{col 76}{space 3} 1.254229
{txt}{space 21} {c |}
{space 9}maxqualchall {c |}{col 23}{res}{space 2}-3.118199{col 35}{space 2} .2676152{col 46}{space 1}  -11.65{col 55}{space 3}0.000{col 63}{space 4}-3.642715{col 76}{space 3}-2.593683
{txt}{space 11}pripct_lag {c |}{col 23}{res}{space 2} 1.354741{col 35}{space 2} .5234567{col 46}{space 1}    2.59{col 55}{space 3}0.010{col 63}{space 4} .3287849{col 76}{space 3} 2.380698
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2}-.0143452{col 35}{space 2} .0096505{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-.0332599{col 76}{space 3} .0045695
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2} .8542545{col 35}{space 2} .3459268{col 46}{space 1}    2.47{col 55}{space 3}0.014{col 63}{space 4} .1762505{col 76}{space 3} 1.532259
{txt}{space 15}gender {c |}{col 23}{res}{space 2} .0638374{col 35}{space 2} .3938298{col 46}{space 1}    0.16{col 55}{space 3}0.871{col 63}{space 4}-.7080548{col 76}{space 3} .8357295
{txt}{space 16}power {c |}{col 23}{res}{space 2} .4829148{col 35}{space 2} .3429462{col 46}{space 1}    1.41{col 55}{space 3}0.159{col 63}{space 4}-.1892475{col 76}{space 3} 1.155077
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.2579612{col 35}{space 2} .6786731{col 46}{space 1}   -0.38{col 55}{space 3}0.704{col 63}{space 4}-1.588136{col 76}{space 3} 1.072214
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2} -.209575{col 35}{space 2}  .302948{col 46}{space 1}   -0.69{col 55}{space 3}0.489{col 63}{space 4}-.8033422{col 76}{space 3} .3841922
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .1756514{col 35}{space 2} .6834766{col 46}{space 1}    0.26{col 55}{space 3}0.797{col 63}{space 4}-1.163938{col 76}{space 3} 1.515241
{txt}{space 16}1984  {c |}{col 23}{res}{space 2}  .230204{col 35}{space 2} .7276565{col 46}{space 1}    0.32{col 55}{space 3}0.752{col 63}{space 4}-1.195976{col 76}{space 3} 1.656384
{txt}{space 16}1986  {c |}{col 23}{res}{space 2} .5060821{col 35}{space 2} .8020519{col 46}{space 1}    0.63{col 55}{space 3}0.528{col 63}{space 4}-1.065911{col 76}{space 3} 2.078075
{txt}{space 16}1988  {c |}{col 23}{res}{space 2} .9442667{col 35}{space 2} .9578776{col 46}{space 1}    0.99{col 55}{space 3}0.324{col 63}{space 4}-.9331389{col 76}{space 3} 2.821672
{txt}{space 16}1990  {c |}{col 23}{res}{space 2} 1.014764{col 35}{space 2} .9555053{col 46}{space 1}    1.06{col 55}{space 3}0.288{col 63}{space 4}-.8579922{col 76}{space 3}  2.88752
{txt}{space 16}1992  {c |}{col 23}{res}{space 2}-.8365845{col 35}{space 2} .5686855{col 46}{space 1}   -1.47{col 55}{space 3}0.141{col 63}{space 4}-1.951188{col 76}{space 3} .2780186
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .4216596{col 35}{space 2} .6908022{col 46}{space 1}    0.61{col 55}{space 3}0.542{col 63}{space 4}-.9322878{col 76}{space 3} 1.775607
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .4714548{col 35}{space 2} .8133849{col 46}{space 1}    0.58{col 55}{space 3}0.562{col 63}{space 4} -1.12275{col 76}{space 3}  2.06566
{txt}{space 16}1998  {c |}{col 23}{res}{space 2} .8331009{col 35}{space 2} .9706815{col 46}{space 1}    0.86{col 55}{space 3}0.391{col 63}{space 4}  -1.0694{col 76}{space 3} 2.735602
{txt}{space 16}2000  {c |}{col 23}{res}{space 2} -.044751{col 35}{space 2} .7461505{col 46}{space 1}   -0.06{col 55}{space 3}0.952{col 63}{space 4}-1.507179{col 76}{space 3} 1.417677
{txt}{space 16}2002  {c |}{col 23}{res}{space 2}-.2795049{col 35}{space 2} .7131845{col 46}{space 1}   -0.39{col 55}{space 3}0.695{col 63}{space 4}-1.677321{col 76}{space 3} 1.118311
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .5274645{col 35}{space 2} .8197503{col 46}{space 1}    0.64{col 55}{space 3}0.520{col 63}{space 4}-1.079217{col 76}{space 3} 2.134146
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .4662054{col 35}{space 2} .8267232{col 46}{space 1}    0.56{col 55}{space 3}0.573{col 63}{space 4}-1.154142{col 76}{space 3} 2.086553
{txt}{space 16}2008  {c |}{col 23}{res}{space 2} .0087659{col 35}{space 2}  .705586{col 46}{space 1}    0.01{col 55}{space 3}0.990{col 63}{space 4}-1.374157{col 76}{space 3} 1.391689
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .1026662{col 35}{space 2} .7054277{col 46}{space 1}    0.15{col 55}{space 3}0.884{col 63}{space 4}-1.279947{col 76}{space 3} 1.485279
{txt}{space 16}2012  {c |}{col 23}{res}{space 2} .0190796{col 35}{space 2} .6789737{col 46}{space 1}    0.03{col 55}{space 3}0.978{col 63}{space 4}-1.311684{col 76}{space 3} 1.349844
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.3477575{col 35}{space 2} .6880205{col 46}{space 1}   -0.51{col 55}{space 3}0.613{col 63}{space 4}-1.696253{col 76}{space 3} 1.000738
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .2921686{col 35}{space 2} .7222929{col 46}{space 1}    0.40{col 55}{space 3}0.686{col 63}{space 4}-1.123499{col 76}{space 3} 1.707837
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}  3.42578{col 35}{space 2} .6370592{col 46}{space 1}    5.38{col 55}{space 3}0.000{col 63}{space 4} 2.177167{col 76}{space 3} 4.674393
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A10.3: 
. firthlogit priwin les maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-370.98366}
rescale:{col 16}penalized log likelihood = {res:-370.98366}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-370.98366}  
Iteration 1:{space 3}penalized log likelihood = {res: -287.4467}  
Iteration 2:{space 3}penalized log likelihood = {res:-262.00534}  
Iteration 3:{space 3}penalized log likelihood = {res:-260.91333}  
Iteration 4:{space 3}penalized log likelihood = {res:-260.87841}  
Iteration 5:{space 3}penalized log likelihood = {res: -260.8783}  
Iteration 6:{space 3}penalized log likelihood = {res: -260.8783}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    216.12
{txt}Penalized log likelihood = {res} -260.8783{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}les {c |}{col 19}{res}{space 2} .3178614{col 31}{space 2} .1567995{col 42}{space 1}    2.03{col 51}{space 3}0.043{col 59}{space 4} .0105399{col 72}{space 3} .6251829
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2} -3.14388{col 31}{space 2}  .269467{col 42}{space 1}  -11.67{col 51}{space 3}0.000{col 59}{space 4}-3.672026{col 72}{space 3}-2.615735
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.163803{col 31}{space 2} .5277178{col 42}{space 1}    2.21{col 51}{space 3}0.027{col 59}{space 4} .1294948{col 72}{space 3} 2.198111
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0153203{col 31}{space 2} .0097566{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4}-.0344428{col 72}{space 3} .0038022
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .8951813{col 31}{space 2} .3420753{col 42}{space 1}    2.62{col 51}{space 3}0.009{col 59}{space 4} .2247259{col 72}{space 3} 1.565637
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1387472{col 31}{space 2} .3935474{col 42}{space 1}    0.35{col 51}{space 3}0.724{col 59}{space 4}-.6325915{col 72}{space 3} .9100859
{txt}{space 12}power {c |}{col 19}{res}{space 2} .4655731{col 31}{space 2} .3435892{col 42}{space 1}    1.36{col 51}{space 3}0.175{col 59}{space 4}-.2078493{col 72}{space 3} 1.138996
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.2450612{col 31}{space 2} .6795214{col 42}{space 1}   -0.36{col 51}{space 3}0.718{col 59}{space 4}-1.576899{col 72}{space 3} 1.086776
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.2296122{col 31}{space 2} .3048404{col 42}{space 1}   -0.75{col 51}{space 3}0.451{col 59}{space 4}-.8270883{col 72}{space 3}  .367864
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1028893{col 31}{space 2}  .687561{col 42}{space 1}    0.15{col 51}{space 3}0.881{col 59}{space 4}-1.244705{col 72}{space 3} 1.450484
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .2770912{col 31}{space 2} .7292871{col 42}{space 1}    0.38{col 51}{space 3}0.704{col 59}{space 4}-1.152285{col 72}{space 3} 1.706468
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .5320061{col 31}{space 2} .8060156{col 42}{space 1}    0.66{col 51}{space 3}0.509{col 59}{space 4}-1.047755{col 72}{space 3} 2.111768
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} .9531309{col 31}{space 2} .9583035{col 42}{space 1}    0.99{col 51}{space 3}0.320{col 59}{space 4}-.9251094{col 72}{space 3} 2.831371
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.060585{col 31}{space 2} .9575829{col 42}{space 1}    1.11{col 51}{space 3}0.268{col 59}{space 4}-.8162436{col 72}{space 3} 2.937413
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.7443997{col 31}{space 2} .5748768{col 42}{space 1}   -1.29{col 51}{space 3}0.195{col 59}{space 4}-1.871138{col 72}{space 3} .3823381
{txt}{space 12}1994  {c |}{col 19}{res}{space 2}  .490349{col 31}{space 2} .6954874{col 42}{space 1}    0.71{col 51}{space 3}0.481{col 59}{space 4}-.8727813{col 72}{space 3} 1.853479
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .5866438{col 31}{space 2} .8146364{col 42}{space 1}    0.72{col 51}{space 3}0.471{col 59}{space 4}-1.010014{col 72}{space 3} 2.183302
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .9033803{col 31}{space 2} .9706073{col 42}{space 1}    0.93{col 51}{space 3}0.352{col 59}{space 4} -.998975{col 72}{space 3} 2.805736
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .0676966{col 31}{space 2} .7508689{col 42}{space 1}    0.09{col 51}{space 3}0.928{col 59}{space 4}-1.403979{col 72}{space 3} 1.539373
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.1337454{col 31}{space 2} .7168999{col 42}{space 1}   -0.19{col 51}{space 3}0.852{col 59}{space 4}-1.538843{col 72}{space 3} 1.271353
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .6747438{col 31}{space 2} .8229204{col 42}{space 1}    0.82{col 51}{space 3}0.412{col 59}{space 4}-.9381506{col 72}{space 3} 2.287638
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .5474452{col 31}{space 2} .8268969{col 42}{space 1}    0.66{col 51}{space 3}0.508{col 59}{space 4}-1.073243{col 72}{space 3} 2.168133
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .1555695{col 31}{space 2} .7096232{col 42}{space 1}    0.22{col 51}{space 3}0.826{col 59}{space 4}-1.235267{col 72}{space 3} 1.546405
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1460883{col 31}{space 2} .7096286{col 42}{space 1}    0.21{col 51}{space 3}0.837{col 59}{space 4}-1.244758{col 72}{space 3} 1.536935
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0784459{col 31}{space 2} .6839271{col 42}{space 1}    0.11{col 51}{space 3}0.909{col 59}{space 4}-1.262027{col 72}{space 3} 1.418918
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3058557{col 31}{space 2} .6941726{col 42}{space 1}   -0.44{col 51}{space 3}0.659{col 59}{space 4}-1.666409{col 72}{space 3} 1.054698
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3865291{col 31}{space 2} .7285072{col 42}{space 1}    0.53{col 51}{space 3}0.596{col 59}{space 4}-1.041319{col 72}{space 3} 1.814377
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.560143{col 31}{space 2} .6307858{col 42}{space 1}    5.64{col 51}{space 3}0.000{col 59}{space 4} 2.323826{col 72}{space 3} 4.796461
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A10.4: 
. firthlogit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-289.50136}
rescale:{col 16}penalized log likelihood = {res:-289.50136}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-289.50136}  
Iteration 1:{space 3}penalized log likelihood = {res: -242.7036}  
Iteration 2:{space 3}penalized log likelihood = {res: -235.4281}  
Iteration 3:{space 3}penalized log likelihood = {res:-235.34939}  
Iteration 4:{space 3}penalized log likelihood = {res:-235.34935}  
Iteration 5:{space 3}penalized log likelihood = {res:-235.34935}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}     98.50
{txt}Penalized log likelihood = {res}-235.34935{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3233394{col 31}{space 2} .1744589{col 42}{space 1}    1.85{col 51}{space 3}0.064{col 59}{space 4}-.0185938{col 72}{space 3} .6652725
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-1.993787{col 31}{space 2} .2625386{col 42}{space 1}   -7.59{col 51}{space 3}0.000{col 59}{space 4}-2.508353{col 72}{space 3} -1.47922
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.059228{col 31}{space 2} .5341554{col 42}{space 1}    1.98{col 51}{space 3}0.047{col 59}{space 4} .0123025{col 72}{space 3} 2.106153
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0084974{col 31}{space 2} .0096527{col 42}{space 1}   -0.88{col 51}{space 3}0.379{col 59}{space 4}-.0274163{col 72}{space 3} .0104215
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .7557919{col 31}{space 2} .3490782{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4} .0716111{col 72}{space 3} 1.439973
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1194452{col 31}{space 2} .3893448{col 42}{space 1}    0.31{col 51}{space 3}0.759{col 59}{space 4}-.6436566{col 72}{space 3}  .882547
{txt}{space 12}power {c |}{col 19}{res}{space 2}  .466934{col 31}{space 2} .3400884{col 42}{space 1}    1.37{col 51}{space 3}0.170{col 59}{space 4}-.1996271{col 72}{space 3} 1.133495
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.1475512{col 31}{space 2} .6735648{col 42}{space 1}   -0.22{col 51}{space 3}0.827{col 59}{space 4}-1.467714{col 72}{space 3} 1.172612
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2} -.105679{col 31}{space 2}  .304604{col 42}{space 1}   -0.35{col 51}{space 3}0.729{col 59}{space 4}-.7026919{col 72}{space 3} .4913339
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2046005{col 31}{space 2} .6820421{col 42}{space 1}    0.30{col 51}{space 3}0.764{col 59}{space 4}-1.132177{col 72}{space 3} 1.541379
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}  .335409{col 31}{space 2} .7249628{col 42}{space 1}    0.46{col 51}{space 3}0.644{col 59}{space 4}-1.085492{col 72}{space 3}  1.75631
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .5488764{col 31}{space 2} .8034315{col 42}{space 1}    0.68{col 51}{space 3}0.495{col 59}{space 4} -1.02582{col 72}{space 3} 2.123573
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} .8301774{col 31}{space 2}  .961454{col 42}{space 1}    0.86{col 51}{space 3}0.388{col 59}{space 4}-1.054238{col 72}{space 3} 2.714593
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} .9767508{col 31}{space 2} .9591272{col 42}{space 1}    1.02{col 51}{space 3}0.308{col 59}{space 4} -.903104{col 72}{space 3} 2.856606
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} -.762119{col 31}{space 2} .5680593{col 42}{space 1}   -1.34{col 51}{space 3}0.180{col 59}{space 4}-1.875495{col 72}{space 3} .3512568
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .3991084{col 31}{space 2}  .689493{col 42}{space 1}    0.58{col 51}{space 3}0.563{col 59}{space 4} -.952273{col 72}{space 3}  1.75049
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .4533113{col 31}{space 2} .8128512{col 42}{space 1}    0.56{col 51}{space 3}0.577{col 59}{space 4}-1.139848{col 72}{space 3}  2.04647
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .6013423{col 31}{space 2} .9775991{col 42}{space 1}    0.62{col 51}{space 3}0.538{col 59}{space 4}-1.314717{col 72}{space 3} 2.517401
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} -.278476{col 31}{space 2} .7542617{col 42}{space 1}   -0.37{col 51}{space 3}0.712{col 59}{space 4}-1.756802{col 72}{space 3}  1.19985
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.3795935{col 31}{space 2} .7214772{col 42}{space 1}   -0.53{col 51}{space 3}0.599{col 59}{space 4}-1.793663{col 72}{space 3} 1.034476
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .4410059{col 31}{space 2} .8221816{col 42}{space 1}    0.54{col 51}{space 3}0.592{col 59}{space 4} -1.17044{col 72}{space 3} 2.052452
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .3710387{col 31}{space 2} .8271613{col 42}{space 1}    0.45{col 51}{space 3}0.654{col 59}{space 4}-1.250168{col 72}{space 3} 1.992245
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.0376661{col 31}{space 2} .7086263{col 42}{space 1}   -0.05{col 51}{space 3}0.958{col 59}{space 4}-1.426548{col 72}{space 3} 1.351216
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1845779{col 31}{space 2} .7015093{col 42}{space 1}    0.26{col 51}{space 3}0.792{col 59}{space 4}-1.190355{col 72}{space 3} 1.559511
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .1935693{col 31}{space 2}  .677837{col 42}{space 1}    0.29{col 51}{space 3}0.775{col 59}{space 4}-1.134967{col 72}{space 3} 1.522105
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.1342562{col 31}{space 2} .6881674{col 42}{space 1}   -0.20{col 51}{space 3}0.845{col 59}{space 4}-1.483039{col 72}{space 3} 1.214527
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .4668707{col 31}{space 2} .7199072{col 42}{space 1}    0.65{col 51}{space 3}0.517{col 59}{space 4}-.9441214{col 72}{space 3} 1.877863
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.152186{col 31}{space 2} .6906532{col 42}{space 1}    3.12{col 51}{space 3}0.002{col 59}{space 4} .7985311{col 72}{space 3} 3.505842
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A11
. * MODEL A11.1: 
. xtlogit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT

{txt}Fitting comparison model:

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-396.44991}  
Iteration 1:{space 3}log likelihood = {res:-309.57386}  
Iteration 2:{space 3}log likelihood = {res:-287.77743}  
Iteration 3:{space 3}log likelihood = {res:-286.93684}  
Iteration 4:{space 3}log likelihood = {res:-286.93412}  
Iteration 5:{space 3}log likelihood = {res:-286.93412}  
{res}
{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-286.93412
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-286.82294
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-286.86221

{txt}Iteration 0:{space 3}log likelihood = {res:-286.82294}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-286.65224}  
Iteration 2:{space 3}log likelihood = {res:-286.41002}  
Iteration 3:{space 3}log likelihood = {res:-285.96646}  
Iteration 4:{space 3}log likelihood = {res:-285.94231}  
Iteration 5:{space 3}log likelihood = {res:-285.92087}  
Iteration 6:{space 3}log likelihood = {res: -285.9205}  
Iteration 7:{space 3}log likelihood = {res: -285.9205}  
{res}
{txt}Random-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     7,456
{txt}Group variable: {res}bonicaridDT_~m{col 49}{txt}Number of groups{col 67}={col 69}{res}     1,564

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.8
{txt}{col 63}max{col 67}={col 69}{res}        19

{txt}Integration method: {res}mvaghermite{txt}{col 49}Integration pts.{col 67}={col 70}{res}       12

{txt}{col 49}Wald chi2({res}27{txt}){col 67}={col 70}{res}   100.74
{txt}Log likelihood  = {res} -285.9205{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3677735{col 31}{space 2} .1973668{col 42}{space 1}    1.86{col 51}{space 3}0.062{col 59}{space 4}-.0190583{col 72}{space 3} .7546052
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.436347{col 31}{space 2} .3694403{col 42}{space 1}   -9.30{col 51}{space 3}0.000{col 59}{space 4}-4.160436{col 72}{space 3}-2.712257
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.588934{col 31}{space 2} .6104051{col 42}{space 1}    2.60{col 51}{space 3}0.009{col 59}{space 4} .3925619{col 72}{space 3} 2.785306
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0190091{col 31}{space 2}  .011942{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4} -.042415{col 72}{space 3} .0043967
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} 1.029652{col 31}{space 2} .4229345{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .2007153{col 72}{space 3} 1.858588
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .2650106{col 31}{space 2} .4941119{col 42}{space 1}    0.54{col 51}{space 3}0.592{col 59}{space 4}-.7034309{col 72}{space 3} 1.233452
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5554422{col 31}{space 2} .4014543{col 42}{space 1}    1.38{col 51}{space 3}0.166{col 59}{space 4}-.2313938{col 72}{space 3} 1.342278
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0296805{col 31}{space 2}  .836978{col 42}{space 1}   -0.04{col 51}{space 3}0.972{col 59}{space 4}-1.670127{col 72}{space 3} 1.610766
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1745899{col 31}{space 2} .3557796{col 42}{space 1}   -0.49{col 51}{space 3}0.624{col 59}{space 4} -.871905{col 72}{space 3} .5227253
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2}  .281516{col 31}{space 2} .7816931{col 42}{space 1}    0.36{col 51}{space 3}0.719{col 59}{space 4}-1.250574{col 72}{space 3} 1.813606
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3569611{col 31}{space 2} .8364343{col 42}{space 1}    0.43{col 51}{space 3}0.670{col 59}{space 4} -1.28242{col 72}{space 3} 1.996342
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .7439666{col 31}{space 2} .9459689{col 42}{space 1}    0.79{col 51}{space 3}0.432{col 59}{space 4}-1.110098{col 72}{space 3} 2.598032
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.392901{col 31}{space 2} 1.197272{col 42}{space 1}    1.16{col 51}{space 3}0.245{col 59}{space 4}-.9537085{col 72}{space 3} 3.739511
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.340074{col 31}{space 2} 1.181101{col 42}{space 1}    1.13{col 51}{space 3}0.257{col 59}{space 4}-.9748426{col 72}{space 3}  3.65499
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-1.075565{col 31}{space 2}  .667798{col 42}{space 1}   -1.61{col 51}{space 3}0.107{col 59}{space 4}-2.384425{col 72}{space 3} .2332949
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4966005{col 31}{space 2} .7955997{col 42}{space 1}    0.62{col 51}{space 3}0.533{col 59}{space 4}-1.062746{col 72}{space 3} 2.055947
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .6705148{col 31}{space 2} .9589496{col 42}{space 1}    0.70{col 51}{space 3}0.484{col 59}{space 4}-1.208992{col 72}{space 3} 2.550021
{txt}{space 12}1998  {c |}{col 19}{res}{space 2}  1.17576{col 31}{space 2} 1.216064{col 42}{space 1}    0.97{col 51}{space 3}0.334{col 59}{space 4} -1.20768{col 72}{space 3} 3.559201
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.0814063{col 31}{space 2} .8572467{col 42}{space 1}   -0.09{col 51}{space 3}0.924{col 59}{space 4}-1.761579{col 72}{space 3} 1.598766
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.2697713{col 31}{space 2} .8192083{col 42}{space 1}   -0.33{col 51}{space 3}0.742{col 59}{space 4} -1.87539{col 72}{space 3} 1.335847
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .7491792{col 31}{space 2}  .974273{col 42}{space 1}    0.77{col 51}{space 3}0.442{col 59}{space 4}-1.160361{col 72}{space 3} 2.658719
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .6703266{col 31}{space 2} .9887142{col 42}{space 1}    0.68{col 51}{space 3}0.498{col 59}{space 4}-1.267518{col 72}{space 3} 2.608171
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.0344366{col 31}{space 2} .8163898{col 42}{space 1}   -0.04{col 51}{space 3}0.966{col 59}{space 4}-1.634531{col 72}{space 3} 1.565658
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}     .131{col 31}{space 2}  .818086{col 42}{space 1}    0.16{col 51}{space 3}0.873{col 59}{space 4}-1.472419{col 72}{space 3} 1.734419
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.1570731{col 31}{space 2} .7922025{col 42}{space 1}   -0.20{col 51}{space 3}0.843{col 59}{space 4}-1.709761{col 72}{space 3} 1.395615
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.5380959{col 31}{space 2} .8046008{col 42}{space 1}   -0.67{col 51}{space 3}0.504{col 59}{space 4}-2.115084{col 72}{space 3} 1.038893
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .2188895{col 31}{space 2} .8326463{col 42}{space 1}    0.26{col 51}{space 3}0.793{col 59}{space 4}-1.413067{col 72}{space 3} 1.850846
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.716699{col 31}{space 2} .8861613{col 42}{space 1}    4.19{col 51}{space 3}0.000{col 59}{space 4} 1.979855{col 72}{space 3} 5.453543
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnsig2u {c |}{col 19}{res}{space 2} .4128823{col 31}{space 2} .8728696{col 59}{space 4}-1.297911{col 72}{space 3} 2.123675
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |}{col 19}{res}{space 2} 1.229295{col 31}{space 2} .5365073{col 59}{space 4} .5225915{col 72}{space 3}  2.89168
{txt}              rho {c |}{col 19}{res}{space 2} .3147586{col 31}{space 2} .1882654{col 59}{space 4} .0766501{col 72}{space 3} .7176486
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}2.03{col 56}{txt}Prob >= chibar2 = {res}0.077
{txt}
{com}. * MODEL A11.2:
. xtlogit priwin i.expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 

{txt}Fitting comparison model:

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-396.44991}  
Iteration 1:{space 3}log likelihood = {res:-309.49742}  
Iteration 2:{space 3}log likelihood = {res:-287.41283}  
Iteration 3:{space 3}log likelihood = {res:-286.57057}  
Iteration 4:{space 3}log likelihood = {res:-286.56761}  
Iteration 5:{space 3}log likelihood = {res:-286.56761}  
{res}
{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-286.56761
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-286.45541
{txt}tau = {res} 0.2     {txt}log likelihood = {res} -286.4925

{txt}Iteration 0:{space 3}log likelihood = {res:-286.45541}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-286.28674}  
Iteration 2:{space 3}log likelihood = {res:-286.01822}  
Iteration 3:{space 3}log likelihood = {res:-285.55485}  
Iteration 4:{space 3}log likelihood = {res:-285.54377}  
Iteration 5:{space 3}log likelihood = {res:-285.54005}  
Iteration 6:{space 3}log likelihood = {res:-285.54004}  
{res}
{txt}Random-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     7,456
{txt}Group variable: {res}bonicaridDT_~m{col 49}{txt}Number of groups{col 67}={col 69}{res}     1,564

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.8
{txt}{col 63}max{col 67}={col 69}{res}        19

{txt}Integration method: {res}mvaghermite{txt}{col 49}Integration pts.{col 67}={col 70}{res}       12

{txt}{col 49}Wald chi2({res}28{txt}){col 67}={col 70}{res}   100.03
{txt}Log likelihood  = {res}-285.54004{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               priwin{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}expectation {c |}
{space 2}Meets Expectations  {c |}{col 23}{res}{space 2} .5892407{col 35}{space 2} .3248421{col 46}{space 1}    1.81{col 55}{space 3}0.070{col 63}{space 4} -.047438{col 76}{space 3} 1.225919
{txt}Exceeds Expectations  {c |}{col 23}{res}{space 2} .6225234{col 35}{space 2}  .399677{col 46}{space 1}    1.56{col 55}{space 3}0.119{col 63}{space 4} -.160829{col 76}{space 3} 1.405876
{txt}{space 21} {c |}
{space 9}maxqualchall {c |}{col 23}{res}{space 2}-3.445293{col 35}{space 2} .3719286{col 46}{space 1}   -9.26{col 55}{space 3}0.000{col 63}{space 4} -4.17426{col 76}{space 3}-2.716327
{txt}{space 11}pripct_lag {c |}{col 23}{res}{space 2} 1.598023{col 35}{space 2} .6094072{col 46}{space 1}    2.62{col 55}{space 3}0.009{col 63}{space 4} .4036068{col 76}{space 3} 2.792439
{txt}{space 8}incumptyadvan {c |}{col 23}{res}{space 2}-.0187732{col 35}{space 2} .0119175{col 46}{space 1}   -1.58{col 55}{space 3}0.115{col 63}{space 4} -.042131{col 76}{space 3} .0045846
{txt}{space 4}cfscore_ideologue {c |}{col 23}{res}{space 2} 1.043731{col 35}{space 2} .4223119{col 46}{space 1}    2.47{col 55}{space 3}0.013{col 63}{space 4} .2160153{col 76}{space 3} 1.871447
{txt}{space 15}gender {c |}{col 23}{res}{space 2} .2392508{col 35}{space 2} .4949934{col 46}{space 1}    0.48{col 55}{space 3}0.629{col 63}{space 4}-.7309185{col 76}{space 3}  1.20942
{txt}{space 16}power {c |}{col 23}{res}{space 2} .5510481{col 35}{space 2} .4019463{col 46}{space 1}    1.37{col 55}{space 3}0.170{col 63}{space 4}-.2367521{col 76}{space 3} 1.338848
{txt}{space 12}allleader {c |}{col 23}{res}{space 2}-.0029138{col 35}{space 2} .8409964{col 46}{space 1}   -0.00{col 55}{space 3}0.997{col 63}{space 4}-1.651236{col 76}{space 3} 1.645409
{txt}{space 12}termlimit {c |}{col 23}{res}{space 2}-.1684553{col 35}{space 2} .3561019{col 46}{space 1}   -0.47{col 55}{space 3}0.636{col 63}{space 4}-.8664023{col 76}{space 3} .5294916
{txt}{space 21} {c |}
{space 15}yearDT {c |}
{space 16}1982  {c |}{col 23}{res}{space 2} .2499052{col 35}{space 2} .7825537{col 46}{space 1}    0.32{col 55}{space 3}0.749{col 63}{space 4}-1.283872{col 76}{space 3} 1.783682
{txt}{space 16}1984  {c |}{col 23}{res}{space 2} .3404935{col 35}{space 2} .8373953{col 46}{space 1}    0.41{col 55}{space 3}0.684{col 63}{space 4}-1.300771{col 76}{space 3} 1.981758
{txt}{space 16}1986  {c |}{col 23}{res}{space 2} .7252613{col 35}{space 2} .9480662{col 46}{space 1}    0.76{col 55}{space 3}0.444{col 63}{space 4}-1.132914{col 76}{space 3} 2.583437
{txt}{space 16}1988  {c |}{col 23}{res}{space 2} 1.393819{col 35}{space 2} 1.198691{col 46}{space 1}    1.16{col 55}{space 3}0.245{col 63}{space 4}-.9555724{col 76}{space 3}  3.74321
{txt}{space 16}1990  {c |}{col 23}{res}{space 2} 1.348131{col 35}{space 2} 1.183626{col 46}{space 1}    1.14{col 55}{space 3}0.255{col 63}{space 4}-.9717328{col 76}{space 3} 3.667994
{txt}{space 16}1992  {c |}{col 23}{res}{space 2}-1.106537{col 35}{space 2} .6698184{col 46}{space 1}   -1.65{col 55}{space 3}0.099{col 63}{space 4}-2.419357{col 76}{space 3} .2062832
{txt}{space 16}1994  {c |}{col 23}{res}{space 2} .4765039{col 35}{space 2} .7968648{col 46}{space 1}    0.60{col 55}{space 3}0.550{col 63}{space 4}-1.085322{col 76}{space 3}  2.03833
{txt}{space 16}1996  {c |}{col 23}{res}{space 2} .6520554{col 35}{space 2} .9581342{col 46}{space 1}    0.68{col 55}{space 3}0.496{col 63}{space 4}-1.225853{col 76}{space 3} 2.529964
{txt}{space 16}1998  {c |}{col 23}{res}{space 2} 1.182979{col 35}{space 2} 1.218569{col 46}{space 1}    0.97{col 55}{space 3}0.332{col 63}{space 4}-1.205372{col 76}{space 3}  3.57133
{txt}{space 16}2000  {c |}{col 23}{res}{space 2}-.0850092{col 35}{space 2} .8600777{col 46}{space 1}   -0.10{col 55}{space 3}0.921{col 63}{space 4}-1.770731{col 76}{space 3} 1.600712
{txt}{space 16}2002  {c |}{col 23}{res}{space 2}-.3109156{col 35}{space 2} .8198062{col 46}{space 1}   -0.38{col 55}{space 3}0.704{col 63}{space 4}-1.917706{col 76}{space 3} 1.295875
{txt}{space 16}2004  {c |}{col 23}{res}{space 2} .7304336{col 35}{space 2} .9749258{col 46}{space 1}    0.75{col 55}{space 3}0.454{col 63}{space 4}-1.180386{col 76}{space 3} 2.641253
{txt}{space 16}2006  {c |}{col 23}{res}{space 2} .6783742{col 35}{space 2} .9951407{col 46}{space 1}    0.68{col 55}{space 3}0.495{col 63}{space 4}-1.272066{col 76}{space 3} 2.628814
{txt}{space 16}2008  {c |}{col 23}{res}{space 2}-.0901561{col 35}{space 2} .8199136{col 46}{space 1}   -0.11{col 55}{space 3}0.912{col 63}{space 4}-1.697157{col 76}{space 3} 1.516845
{txt}{space 16}2010  {c |}{col 23}{res}{space 2} .1153289{col 35}{space 2} .8188934{col 46}{space 1}    0.14{col 55}{space 3}0.888{col 63}{space 4}-1.489673{col 76}{space 3} 1.720331
{txt}{space 16}2012  {c |}{col 23}{res}{space 2}-.1793153{col 35}{space 2} .7943541{col 46}{space 1}   -0.23{col 55}{space 3}0.821{col 63}{space 4}-1.736221{col 76}{space 3}  1.37759
{txt}{space 16}2014  {c |}{col 23}{res}{space 2}-.5679006{col 35}{space 2} .8072595{col 46}{space 1}   -0.70{col 55}{space 3}0.482{col 63}{space 4}  -2.1501{col 76}{space 3} 1.014299
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .1912003{col 35}{space 2} .8341956{col 46}{space 1}    0.23{col 55}{space 3}0.819{col 63}{space 4}-1.443793{col 76}{space 3} 1.826194
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} 4.042087{col 35}{space 2}  .845227{col 46}{space 1}    4.78{col 55}{space 3}0.000{col 63}{space 4} 2.385473{col 76}{space 3} 5.698702
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnsig2u {c |}{col 23}{res}{space 2} .4181369{col 35}{space 2} .8689033{col 63}{space 4}-1.284882{col 76}{space 3} 2.121156
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |}{col 23}{res}{space 2} 1.232529{col 35}{space 2} .5354744{col 63}{space 4} .5260068{col 76}{space 3}  2.88804
{txt}                  rho {c |}{col 23}{res}{space 2}  .315893{col 35}{space 2}  .187774{col 63}{space 4} .0775772{col 76}{space 3} .7171379
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}2.06{col 56}{txt}Prob >= chibar2 = {res}0.076
{txt}
{com}. * MODEL A11.3:
. xtlogit priwin les maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 

{txt}Fitting comparison model:

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-396.44991}  
Iteration 1:{space 3}log likelihood = {res:-308.82207}  
Iteration 2:{space 3}log likelihood = {res:-285.91484}  
Iteration 3:{space 3}log likelihood = {res:-284.77556}  
Iteration 4:{space 3}log likelihood = {res:-284.76303}  
Iteration 5:{space 3}log likelihood = {res:-284.76302}  
{res}
{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-284.76302
{txt}tau = {res} 0.1     {txt}log likelihood = {res} -284.6541
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-284.70256

{txt}Iteration 0:{space 3}log likelihood = {res: -284.6541}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -284.4855}  
Iteration 2:{space 3}log likelihood = {res:-284.33296}  
Iteration 3:{space 3}log likelihood = {res:-283.92141}  
Iteration 4:{space 3}log likelihood = {res: -283.8622}  
Iteration 5:{space 3}log likelihood = {res:-283.86192}  
Iteration 6:{space 3}log likelihood = {res:-283.86192}  
{res}
{txt}Random-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     7,456
{txt}Group variable: {res}bonicaridDT_~m{col 49}{txt}Number of groups{col 67}={col 69}{res}     1,564

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.8
{txt}{col 63}max{col 67}={col 69}{res}        19

{txt}Integration method: {res}mvaghermite{txt}{col 49}Integration pts.{col 67}={col 70}{res}       12

{txt}{col 49}Wald chi2({res}27{txt}){col 67}={col 70}{res}   104.19
{txt}Log likelihood  = {res}-283.86192{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}les {c |}{col 19}{res}{space 2}  .375085{col 31}{space 2} .1700592{col 42}{space 1}    2.21{col 51}{space 3}0.027{col 59}{space 4} .0417751{col 72}{space 3}  .708395
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.436353{col 31}{space 2} .3639154{col 42}{space 1}   -9.44{col 51}{space 3}0.000{col 59}{space 4}-4.149614{col 72}{space 3}-2.723092
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.389483{col 31}{space 2} .6100716{col 42}{space 1}    2.28{col 51}{space 3}0.023{col 59}{space 4}  .193765{col 72}{space 3} 2.585202
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0196653{col 31}{space 2} .0118495{col 42}{space 1}   -1.66{col 51}{space 3}0.097{col 59}{space 4}-.0428899{col 72}{space 3} .0035593
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} 1.080515{col 31}{space 2} .4147291{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .2676609{col 72}{space 3} 1.893369
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .3249888{col 31}{space 2} .4888336{col 42}{space 1}    0.66{col 51}{space 3}0.506{col 59}{space 4}-.6331075{col 72}{space 3} 1.283085
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5321092{col 31}{space 2} .3970853{col 42}{space 1}    1.34{col 51}{space 3}0.180{col 59}{space 4}-.2461637{col 72}{space 3} 1.310382
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.0102173{col 31}{space 2} .8308784{col 42}{space 1}   -0.01{col 51}{space 3}0.990{col 59}{space 4}-1.638709{col 72}{space 3} 1.618274
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1999802{col 31}{space 2} .3536772{col 42}{space 1}   -0.57{col 51}{space 3}0.572{col 59}{space 4}-.8931748{col 72}{space 3} .4932144
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .1731406{col 31}{space 2} .7794649{col 42}{space 1}    0.22{col 51}{space 3}0.824{col 59}{space 4}-1.354583{col 72}{space 3} 1.700864
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3808934{col 31}{space 2} .8331856{col 42}{space 1}    0.46{col 51}{space 3}0.648{col 59}{space 4} -1.25212{col 72}{space 3} 2.013907
{txt}{space 12}1986  {c |}{col 19}{res}{space 2}  .735271{col 31}{space 2} .9433802{col 42}{space 1}    0.78{col 51}{space 3}0.436{col 59}{space 4} -1.11372{col 72}{space 3} 2.584262
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.380057{col 31}{space 2} 1.190146{col 42}{space 1}    1.16{col 51}{space 3}0.246{col 59}{space 4}-.9525869{col 72}{space 3} 3.712702
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.382292{col 31}{space 2} 1.178315{col 42}{space 1}    1.17{col 51}{space 3}0.241{col 59}{space 4}-.9271636{col 72}{space 3} 3.691747
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} -1.01308{col 31}{space 2} .6683617{col 42}{space 1}   -1.52{col 51}{space 3}0.130{col 59}{space 4}-2.323045{col 72}{space 3} .2968852
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .5480689{col 31}{space 2} .7959153{col 42}{space 1}    0.69{col 51}{space 3}0.491{col 59}{space 4}-1.011896{col 72}{space 3} 2.108034
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .7887072{col 31}{space 2} .9564173{col 42}{space 1}    0.82{col 51}{space 3}0.410{col 59}{space 4}-1.085836{col 72}{space 3} 2.663251
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 1.263923{col 31}{space 2} 1.205107{col 42}{space 1}    1.05{col 51}{space 3}0.294{col 59}{space 4}-1.098044{col 72}{space 3} 3.625889
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} .0253697{col 31}{space 2} .8559198{col 42}{space 1}    0.03{col 51}{space 3}0.976{col 59}{space 4}-1.652202{col 72}{space 3} 1.702942
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.1493305{col 31}{space 2} .8177147{col 42}{space 1}   -0.18{col 51}{space 3}0.855{col 59}{space 4}-1.752022{col 72}{space 3} 1.453361
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} .8491023{col 31}{space 2} .9697388{col 42}{space 1}    0.88{col 51}{space 3}0.381{col 59}{space 4}-1.051551{col 72}{space 3} 2.749755
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .7273743{col 31}{space 2}  .981647{col 42}{space 1}    0.74{col 51}{space 3}0.459{col 59}{space 4}-1.196619{col 72}{space 3} 2.651367
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .0736221{col 31}{space 2} .8144469{col 42}{space 1}    0.09{col 51}{space 3}0.928{col 59}{space 4}-1.522665{col 72}{space 3} 1.669909
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1507793{col 31}{space 2} .8157166{col 42}{space 1}    0.18{col 51}{space 3}0.853{col 59}{space 4}-1.447996{col 72}{space 3} 1.749555
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} -.118889{col 31}{space 2} .7915803{col 42}{space 1}   -0.15{col 51}{space 3}0.881{col 59}{space 4}-1.670358{col 72}{space 3}  1.43258
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.5207947{col 31}{space 2}  .803779{col 42}{space 1}   -0.65{col 51}{space 3}0.517{col 59}{space 4}-2.096173{col 72}{space 3} 1.054583
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .2733219{col 31}{space 2}  .832402{col 42}{space 1}    0.33{col 51}{space 3}0.743{col 59}{space 4}-1.358156{col 72}{space 3}   1.9048
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 4.111457{col 31}{space 2} .8206672{col 42}{space 1}    5.01{col 51}{space 3}0.000{col 59}{space 4} 2.502978{col 72}{space 3} 5.719935
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnsig2u {c |}{col 19}{res}{space 2} .3081115{col 31}{space 2} .9201165{col 59}{space 4}-1.495284{col 72}{space 3} 2.111507
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |}{col 19}{res}{space 2} 1.166556{col 31}{space 2} .5366837{col 59}{space 4} .4734818{col 72}{space 3}  2.87414
{txt}              rho {c |}{col 19}{res}{space 2} .2926111{col 31}{space 2} .1904548{col 59}{space 4} .0637967{col 72}{space 3} .7151764
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}1.80{col 56}{txt}Prob >= chibar2 = {res}0.090
{txt}
{com}. * MODEL A11.4: 
. xtlogit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1

{txt}Fitting comparison model:

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-314.32728}  
Iteration 1:{space 3}log likelihood = {res:-268.69715}  
Iteration 2:{space 3}log likelihood = {res:-259.12608}  
Iteration 3:{space 3}log likelihood = {res:-259.05345}  
Iteration 4:{space 3}log likelihood = {res:-259.05323}  
Iteration 5:{space 3}log likelihood = {res:-259.05323}  
{res}
{txt}Fitting full model:

tau = {res} 0.0     {txt}log likelihood = {res}-259.05323
{txt}tau = {res} 0.1     {txt}log likelihood = {res}-258.97809
{txt}tau = {res} 0.2     {txt}log likelihood = {res}-259.04525

{txt}Iteration 0:{space 3}log likelihood = {res:-258.97809}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-258.78074}  
Iteration 2:{space 3}log likelihood = {res:-258.27062}  
Iteration 3:{space 3}log likelihood = {res:-258.20866}  
Iteration 4:{space 3}log likelihood = {res:-258.19993}  
Iteration 5:{space 3}log likelihood = {res:-258.19983}  
Iteration 6:{space 3}log likelihood = {res:-258.19983}  
{res}
{txt}Random-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,331
{txt}Group variable: {res}bonicaridDT_~m{col 49}{txt}Number of groups{col 67}={col 69}{res}       952

{txt}Random effects u_i ~ {res}Gaussian{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       2.4
{txt}{col 63}max{col 67}={col 69}{res}        12

{txt}Integration method: {res}mvaghermite{txt}{col 49}Integration pts.{col 67}={col 70}{res}       12

{txt}{col 49}Wald chi2({res}27{txt}){col 67}={col 70}{res}    46.35
{txt}Log likelihood  = {res}-258.19983{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0117

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .3599329{col 31}{space 2} .2036583{col 42}{space 1}    1.77{col 51}{space 3}0.077{col 59}{space 4}  -.03923{col 72}{space 3} .7590957
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-2.301341{col 31}{space 2} .3794295{col 42}{space 1}   -6.07{col 51}{space 3}0.000{col 59}{space 4}-3.045009{col 72}{space 3}-1.557672
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.306661{col 31}{space 2} .6527077{col 42}{space 1}    2.00{col 51}{space 3}0.045{col 59}{space 4} .0273775{col 72}{space 3} 2.585945
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0117406{col 31}{space 2} .0122989{col 42}{space 1}   -0.95{col 51}{space 3}0.340{col 59}{space 4} -.035846{col 72}{space 3} .0123647
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .9704494{col 31}{space 2} .4613566{col 42}{space 1}    2.10{col 51}{space 3}0.035{col 59}{space 4}  .066207{col 72}{space 3} 1.874692
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .3167946{col 31}{space 2} .5128237{col 42}{space 1}    0.62{col 51}{space 3}0.537{col 59}{space 4}-.6883214{col 72}{space 3} 1.321911
{txt}{space 12}power {c |}{col 19}{res}{space 2} .5573619{col 31}{space 2} .4144247{col 42}{space 1}    1.34{col 51}{space 3}0.179{col 59}{space 4}-.2548956{col 72}{space 3} 1.369619
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} .1144359{col 31}{space 2} .8573569{col 42}{space 1}    0.13{col 51}{space 3}0.894{col 59}{space 4}-1.565953{col 72}{space 3} 1.794824
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.0210136{col 31}{space 2} .3737122{col 42}{space 1}   -0.06{col 51}{space 3}0.955{col 59}{space 4} -.753476{col 72}{space 3} .7114489
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .3086423{col 31}{space 2} .8096236{col 42}{space 1}    0.38{col 51}{space 3}0.703{col 59}{space 4}-1.278191{col 72}{space 3} 1.895475
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .4935668{col 31}{space 2} .8556568{col 42}{space 1}    0.58{col 51}{space 3}0.564{col 59}{space 4} -1.18349{col 72}{space 3} 2.170623
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .7754617{col 31}{space 2} .9688197{col 42}{space 1}    0.80{col 51}{space 3}0.423{col 59}{space 4} -1.12339{col 72}{space 3} 2.674313
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.332343{col 31}{space 2} 1.229756{col 42}{space 1}    1.08{col 51}{space 3}0.279{col 59}{space 4}-1.077934{col 72}{space 3} 3.742619
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.307612{col 31}{space 2} 1.215888{col 42}{space 1}    1.08{col 51}{space 3}0.282{col 59}{space 4}-1.075485{col 72}{space 3} 3.690709
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-1.071354{col 31}{space 2} .7120189{col 42}{space 1}   -1.50{col 51}{space 3}0.132{col 59}{space 4}-2.466885{col 72}{space 3} .3241776
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .4517291{col 31}{space 2} .8220839{col 42}{space 1}    0.55{col 51}{space 3}0.583{col 59}{space 4}-1.159526{col 72}{space 3} 2.062984
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} .6436495{col 31}{space 2} .9903779{col 42}{space 1}    0.65{col 51}{space 3}0.516{col 59}{space 4}-1.297455{col 72}{space 3} 2.584755
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} .9331917{col 31}{space 2} 1.257111{col 42}{space 1}    0.74{col 51}{space 3}0.458{col 59}{space 4}-1.530701{col 72}{space 3} 3.397084
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.3971662{col 31}{space 2} .9168768{col 42}{space 1}   -0.43{col 51}{space 3}0.665{col 59}{space 4}-2.194212{col 72}{space 3} 1.399879
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-.4583926{col 31}{space 2} .8697069{col 42}{space 1}   -0.53{col 51}{space 3}0.598{col 59}{space 4}-2.162987{col 72}{space 3} 1.246202
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}   .64852{col 31}{space 2} 1.008502{col 42}{space 1}    0.64{col 51}{space 3}0.520{col 59}{space 4}-1.328108{col 72}{space 3} 2.625148
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} .5629464{col 31}{space 2}  1.02134{col 42}{space 1}    0.55{col 51}{space 3}0.582{col 59}{space 4}-1.438843{col 72}{space 3} 2.564736
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} -.155062{col 31}{space 2} .8556684{col 42}{space 1}   -0.18{col 51}{space 3}0.856{col 59}{space 4}-1.832141{col 72}{space 3} 1.522017
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .2105512{col 31}{space 2} .8368208{col 42}{space 1}    0.25{col 51}{space 3}0.801{col 59}{space 4}-1.429587{col 72}{space 3}  1.85069
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .0014448{col 31}{space 2} .8166596{col 42}{space 1}    0.00{col 51}{space 3}0.999{col 59}{space 4}-1.599179{col 72}{space 3} 1.602068
{txt}{space 12}2014  {c |}{col 19}{res}{space 2}-.3538986{col 31}{space 2} .8350709{col 42}{space 1}   -0.42{col 51}{space 3}0.672{col 59}{space 4}-1.990608{col 72}{space 3}  1.28281
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} .3853632{col 31}{space 2} .8472823{col 42}{space 1}    0.45{col 51}{space 3}0.649{col 59}{space 4} -1.27528{col 72}{space 3} 2.046006
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.736923{col 31}{space 2} .9271073{col 42}{space 1}    2.95{col 51}{space 3}0.003{col 59}{space 4} .9198259{col 72}{space 3}  4.55402
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnsig2u {c |}{col 19}{res}{space 2} .5785204{col 31}{space 2} .9936624{col 59}{space 4}-1.369022{col 72}{space 3} 2.526063
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |}{col 19}{res}{space 2} 1.335439{col 31}{space 2} .6634879{col 59}{space 4} .5043367{col 72}{space 3} 3.536125
{txt}              rho {c |}{col 19}{res}{space 2} .3515285{col 31}{space 2} .2265115{col 59}{space 4} .0717662{col 72}{space 3}  .791702
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}1.71{col 56}{txt}Prob >= chibar2 = {res}0.096
{txt}
{com}. 
. * Table A12
. * MODEL A2.1: 
. logit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if yearDT<1995, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-187.50067}  
Iteration 1:{space 3}log pseudolikelihood = {res:-147.95658}  
Iteration 2:{space 3}log pseudolikelihood = {res:-138.31629}  
Iteration 3:{space 3}log pseudolikelihood = {res:-137.82286}  
Iteration 4:{space 3}log pseudolikelihood = {res:-137.81802}  
Iteration 5:{space 3}log pseudolikelihood = {res:-137.81802}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,123
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}    175.30
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-137.81802{txt}{col 49}Pseudo R2{col 67}= {res}    0.2650

{txt}{ralign 83:(Std. Err. adjusted for {res:859} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .2591492{col 31}{space 2} .2731782{col 42}{space 1}    0.95{col 51}{space 3}0.343{col 59}{space 4}-.2762702{col 72}{space 3} .7945686
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-2.928071{col 31}{space 2} .4393144{col 42}{space 1}   -6.67{col 51}{space 3}0.000{col 59}{space 4}-3.789112{col 72}{space 3}-2.067031
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} .7836644{col 31}{space 2} .9495588{col 42}{space 1}    0.83{col 51}{space 3}0.409{col 59}{space 4}-1.077437{col 72}{space 3} 2.644765
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0200852{col 31}{space 2} .0136941{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.0469252{col 72}{space 3} .0067547
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2} .5673105{col 31}{space 2} .5013754{col 42}{space 1}    1.13{col 51}{space 3}0.258{col 59}{space 4}-.4153673{col 72}{space 3} 1.549988
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .0832437{col 31}{space 2} .7681016{col 42}{space 1}    0.11{col 51}{space 3}0.914{col 59}{space 4}-1.422208{col 72}{space 3} 1.588695
{txt}{space 12}power {c |}{col 19}{res}{space 2} .1847823{col 31}{space 2} .4332158{col 42}{space 1}    0.43{col 51}{space 3}0.670{col 59}{space 4} -.664305{col 72}{space 3}  1.03387
{txt}{space 8}allleader {c |}{col 19}{res}{space 2} .1623203{col 31}{space 2} .9317837{col 42}{space 1}    0.17{col 51}{space 3}0.862{col 59}{space 4}-1.663942{col 72}{space 3} 1.988583
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.3802324{col 31}{space 2} .5210023{col 42}{space 1}   -0.73{col 51}{space 3}0.466{col 59}{space 4}-1.401378{col 72}{space 3} .6409132
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1982  {c |}{col 19}{res}{space 2} .2416444{col 31}{space 2} .7144739{col 42}{space 1}    0.34{col 51}{space 3}0.735{col 59}{space 4}-1.158699{col 72}{space 3} 1.641987
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .3760102{col 31}{space 2} .7847389{col 42}{space 1}    0.48{col 51}{space 3}0.632{col 59}{space 4} -1.16205{col 72}{space 3}  1.91407
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .7267522{col 31}{space 2} .8571701{col 42}{space 1}    0.85{col 51}{space 3}0.397{col 59}{space 4}-.9532703{col 72}{space 3} 2.406775
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.359081{col 31}{space 2} 1.143784{col 42}{space 1}    1.19{col 51}{space 3}0.235{col 59}{space 4}-.8826949{col 72}{space 3} 3.600857
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 1.451031{col 31}{space 2} 1.100168{col 42}{space 1}    1.32{col 51}{space 3}0.187{col 59}{space 4}-.7052595{col 72}{space 3} 3.607321
{txt}{space 12}1992  {c |}{col 19}{res}{space 2}-.7116467{col 31}{space 2} .6191977{col 42}{space 1}   -1.15{col 51}{space 3}0.250{col 59}{space 4}-1.925252{col 72}{space 3} .5019586
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} .5475259{col 31}{space 2} .7519638{col 42}{space 1}    0.73{col 51}{space 3}0.467{col 59}{space 4}-.9262962{col 72}{space 3} 2.021348
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.877598{col 31}{space 2}   1.0105{col 42}{space 1}    3.84{col 51}{space 3}0.000{col 59}{space 4} 1.897055{col 72}{space 3} 5.858141
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A12.2: 
. logit priwin expectation maxqualchall pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if yearDT>1995, cluster(bonicaridDT)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-208.30791}  
Iteration 1:{space 3}log pseudolikelihood = {res:-160.89056}  
Iteration 2:{space 3}log pseudolikelihood = {res:-146.52599}  
Iteration 3:{space 3}log pseudolikelihood = {res:-146.19018}  
Iteration 4:{space 3}log pseudolikelihood = {res:-146.18883}  
Iteration 5:{space 3}log pseudolikelihood = {res:-146.18883}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     4,333
{txt}{col 49}Wald chi2({res}19{txt}){col 67}= {res}    184.02
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-146.18883{txt}{col 49}Pseudo R2{col 67}= {res}    0.2982

{txt}{ralign 83:(Std. Err. adjusted for {res:1,011} clusters in bonicaridDT)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           priwin{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}expectation {c |}{col 19}{res}{space 2} .4950966{col 31}{space 2} .2812971{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.0562355{col 72}{space 3} 1.046429
{txt}{space 5}maxqualchall {c |}{col 19}{res}{space 2}-3.439927{col 31}{space 2} .4232447{col 42}{space 1}   -8.13{col 51}{space 3}0.000{col 59}{space 4}-4.269471{col 72}{space 3}-2.610382
{txt}{space 7}pripct_lag {c |}{col 19}{res}{space 2} 1.975102{col 31}{space 2} .7551809{col 42}{space 1}    2.62{col 51}{space 3}0.009{col 59}{space 4} .4949752{col 72}{space 3}  3.45523
{txt}{space 4}incumptyadvan {c |}{col 19}{res}{space 2}-.0104294{col 31}{space 2} .0146694{col 42}{space 1}   -0.71{col 51}{space 3}0.477{col 59}{space 4}-.0391809{col 72}{space 3} .0183222
{txt}cfscore_ideologue {c |}{col 19}{res}{space 2}  1.38619{col 31}{space 2}  .532068{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .3433556{col 72}{space 3} 2.429024
{txt}{space 11}gender {c |}{col 19}{res}{space 2} .1476136{col 31}{space 2} .5546335{col 42}{space 1}    0.27{col 51}{space 3}0.790{col 59}{space 4}-.9394481{col 72}{space 3} 1.234675
{txt}{space 12}power {c |}{col 19}{res}{space 2} .9478189{col 31}{space 2} .5422203{col 42}{space 1}    1.75{col 51}{space 3}0.080{col 59}{space 4}-.1149135{col 72}{space 3} 2.010551
{txt}{space 8}allleader {c |}{col 19}{res}{space 2}-.4335046{col 31}{space 2} 1.089676{col 42}{space 1}   -0.40{col 51}{space 3}0.691{col 59}{space 4} -2.56923{col 72}{space 3} 1.702221
{txt}{space 8}termlimit {c |}{col 19}{res}{space 2}-.1578765{col 31}{space 2} .4015367{col 42}{space 1}   -0.39{col 51}{space 3}0.694{col 59}{space 4} -.944874{col 72}{space 3}  .629121
{txt}{space 17} {c |}
{space 11}yearDT {c |}
{space 12}1998  {c |}{col 19}{res}{space 2} .4473022{col 31}{space 2} 1.182603{col 42}{space 1}    0.38{col 51}{space 3}0.705{col 59}{space 4}-1.870557{col 72}{space 3} 2.765162
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}-.7288628{col 31}{space 2} .9821062{col 42}{space 1}   -0.74{col 51}{space 3}0.458{col 59}{space 4}-2.653756{col 72}{space 3}  1.19603
{txt}{space 12}2002  {c |}{col 19}{res}{space 2}-1.033064{col 31}{space 2} .9668195{col 42}{space 1}   -1.07{col 51}{space 3}0.285{col 59}{space 4}-2.927996{col 72}{space 3} .8618674
{txt}{space 12}2004  {c |}{col 19}{res}{space 2}-.0083776{col 31}{space 2} 1.061619{col 42}{space 1}   -0.01{col 51}{space 3}0.994{col 59}{space 4}-2.089113{col 72}{space 3} 2.072358
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} -.090763{col 31}{space 2} 1.057103{col 42}{space 1}   -0.09{col 51}{space 3}0.932{col 59}{space 4}-2.162646{col 72}{space 3}  1.98112
{txt}{space 12}2008  {c |}{col 19}{res}{space 2}-.5964648{col 31}{space 2} .9399625{col 42}{space 1}   -0.63{col 51}{space 3}0.526{col 59}{space 4}-2.438757{col 72}{space 3} 1.245828
{txt}{space 12}2010  {c |}{col 19}{res}{space 2}-.5883388{col 31}{space 2} .8933819{col 42}{space 1}   -0.66{col 51}{space 3}0.510{col 59}{space 4}-2.339335{col 72}{space 3} 1.162657
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.7210689{col 31}{space 2} .9400588{col 42}{space 1}   -0.77{col 51}{space 3}0.443{col 59}{space 4} -2.56355{col 72}{space 3} 1.121413
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} -1.12181{col 31}{space 2} .8945539{col 42}{space 1}   -1.25{col 51}{space 3}0.210{col 59}{space 4}-2.875103{col 72}{space 3} .6314837
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} -.430286{col 31}{space 2} .9680826{col 42}{space 1}   -0.44{col 51}{space 3}0.657{col 59}{space 4}-2.327693{col 72}{space 3} 1.467121
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  2.97136{col 31}{space 2} 1.030858{col 42}{space 1}    2.88{col 51}{space 3}0.004{col 59}{space 4} .9509162{col 72}{space 3} 4.991804
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A13
. * MODEL A13.1: 
. firthlogit priwin c.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-368.65424}
rescale:{col 16}penalized log likelihood = {res:-368.65424}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-368.65424}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-317.60624}  (not concave)
Iteration 2:{space 3}penalized log likelihood = {res:-299.53437}  
Iteration 3:{space 3}penalized log likelihood = {res:-297.68983}  
Iteration 4:{space 3}penalized log likelihood = {res:-287.10528}  
Iteration 5:{space 3}penalized log likelihood = {res:-286.72683}  
Iteration 6:{space 3}penalized log likelihood = {res:-286.72547}  
Iteration 7:{space 3}penalized log likelihood = {res:-286.72547}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    154.17
{txt}Penalized log likelihood = {res}-286.72547{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  priwin{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}{col 26}{res}{space 2} .6366294{col 38}{space 2} .2435397{col 49}{space 1}    2.61{col 58}{space 3}0.009{col 66}{space 4} .1593004{col 79}{space 3} 1.113958
{txt}{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2}-.1209988{col 38}{space 2} .1626675{col 49}{space 1}   -0.74{col 58}{space 3}0.457{col 66}{space 4}-.4398212{col 79}{space 3} .1978237
{txt}{space 24} {c |}
{space 11}c.expectation#{c |}
c.nchallengers_sameparty {c |}{col 26}{res}{space 2}-.3041281{col 38}{space 2} .1005181{col 49}{space 1}   -3.03{col 58}{space 3}0.002{col 66}{space 4}-.5011401{col 79}{space 3}-.1071162
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2} 1.568627{col 38}{space 2}  .545555{col 49}{space 1}    2.88{col 58}{space 3}0.004{col 66}{space 4} .4993584{col 79}{space 3} 2.637895
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2}-.0180846{col 38}{space 2} .0097934{col 49}{space 1}   -1.85{col 58}{space 3}0.065{col 66}{space 4}-.0372793{col 79}{space 3} .0011101
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2} 1.058021{col 38}{space 2} .3422819{col 49}{space 1}    3.09{col 58}{space 3}0.002{col 66}{space 4}  .387161{col 79}{space 3} 1.728881
{txt}{space 18}gender {c |}{col 26}{res}{space 2}-.0856834{col 38}{space 2} .3944847{col 49}{space 1}   -0.22{col 58}{space 3}0.828{col 66}{space 4}-.8588592{col 79}{space 3} .6874923
{txt}{space 19}power {c |}{col 26}{res}{space 2} .5073842{col 38}{space 2} .3449761{col 49}{space 1}    1.47{col 58}{space 3}0.141{col 66}{space 4}-.1687566{col 79}{space 3} 1.183525
{txt}{space 15}allleader {c |}{col 26}{res}{space 2}-.2481356{col 38}{space 2} .6593305{col 49}{space 1}   -0.38{col 58}{space 3}0.707{col 66}{space 4}  -1.5404{col 79}{space 3} 1.044128
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2} .0510649{col 38}{space 2} .3071438{col 49}{space 1}    0.17{col 58}{space 3}0.868{col 66}{space 4} -.550926{col 79}{space 3} .6530558
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2}-.3935626{col 38}{space 2} .6876195{col 49}{space 1}   -0.57{col 58}{space 3}0.567{col 66}{space 4}-1.741272{col 79}{space 3} .9541469
{txt}{space 19}1984  {c |}{col 26}{res}{space 2} .0245413{col 38}{space 2} .7322718{col 49}{space 1}    0.03{col 58}{space 3}0.973{col 66}{space 4}-1.410685{col 79}{space 3} 1.459768
{txt}{space 19}1986  {c |}{col 26}{res}{space 2} .2006911{col 38}{space 2} .8152404{col 49}{space 1}    0.25{col 58}{space 3}0.806{col 66}{space 4}-1.397151{col 79}{space 3} 1.798533
{txt}{space 19}1988  {c |}{col 26}{res}{space 2}  .488031{col 38}{space 2} .9623827{col 49}{space 1}    0.51{col 58}{space 3}0.612{col 66}{space 4}-1.398204{col 79}{space 3} 2.374267
{txt}{space 19}1990  {c |}{col 26}{res}{space 2}  .451003{col 38}{space 2} .9624909{col 49}{space 1}    0.47{col 58}{space 3}0.639{col 66}{space 4}-1.435444{col 79}{space 3}  2.33745
{txt}{space 19}1992  {c |}{col 26}{res}{space 2}-1.494049{col 38}{space 2}  .580358{col 49}{space 1}   -2.57{col 58}{space 3}0.010{col 66}{space 4} -2.63153{col 79}{space 3}-.3565686
{txt}{space 19}1994  {c |}{col 26}{res}{space 2}-.2197225{col 38}{space 2} .7038832{col 49}{space 1}   -0.31{col 58}{space 3}0.755{col 66}{space 4}-1.599308{col 79}{space 3} 1.159863
{txt}{space 19}1996  {c |}{col 26}{res}{space 2} .6249828{col 38}{space 2} .9745281{col 49}{space 1}    0.64{col 58}{space 3}0.521{col 66}{space 4}-1.285057{col 79}{space 3} 2.535023
{txt}{space 19}1998  {c |}{col 26}{res}{space 2} .3115312{col 38}{space 2} .9737053{col 49}{space 1}    0.32{col 58}{space 3}0.749{col 66}{space 4}-1.596896{col 79}{space 3} 2.219959
{txt}{space 19}2000  {c |}{col 26}{res}{space 2}-.6222108{col 38}{space 2} .7586823{col 49}{space 1}   -0.82{col 58}{space 3}0.412{col 66}{space 4}-2.109201{col 79}{space 3} .8647792
{txt}{space 19}2002  {c |}{col 26}{res}{space 2} -.867696{col 38}{space 2} .7193615{col 49}{space 1}   -1.21{col 58}{space 3}0.228{col 66}{space 4}-2.277619{col 79}{space 3} .5422266
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.2370504{col 38}{space 2} .8312105{col 49}{space 1}   -0.29{col 58}{space 3}0.776{col 66}{space 4}-1.866193{col 79}{space 3} 1.392092
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .1793432{col 38}{space 2} .9122264{col 49}{space 1}    0.20{col 58}{space 3}0.844{col 66}{space 4}-1.608588{col 79}{space 3} 1.967274
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.4739106{col 38}{space 2} .7326101{col 49}{space 1}   -0.65{col 58}{space 3}0.518{col 66}{space 4}  -1.9098{col 79}{space 3} .9619788
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.3377513{col 38}{space 2} .7217557{col 49}{space 1}   -0.47{col 58}{space 3}0.640{col 66}{space 4}-1.752367{col 79}{space 3} 1.076864
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.6004299{col 38}{space 2} .6919629{col 49}{space 1}   -0.87{col 58}{space 3}0.386{col 66}{space 4}-1.956652{col 79}{space 3} .7557924
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.7026935{col 38}{space 2} .7013777{col 49}{space 1}   -1.00{col 58}{space 3}0.316{col 66}{space 4}-2.077368{col 79}{space 3} .6719815
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.1185071{col 38}{space 2} .7656866{col 49}{space 1}   -0.15{col 58}{space 3}0.877{col 66}{space 4}-1.619225{col 79}{space 3} 1.382211
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 2.523681{col 38}{space 2} .7426023{col 49}{space 1}    3.40{col 58}{space 3}0.001{col 66}{space 4} 1.068207{col 79}{space 3} 3.979155
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A13.2:
. firthlogit priwin i.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-367.49971}
rescale:{col 16}penalized log likelihood = {res:-367.49971}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-367.49971}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-320.82857}  
Iteration 2:{space 3}penalized log likelihood = {res:-289.83564}  
Iteration 3:{space 3}penalized log likelihood = {res:-284.52003}  
Iteration 4:{space 3}penalized log likelihood = {res:-284.43925}  
Iteration 5:{space 3}penalized log likelihood = {res:-284.43905}  
Iteration 6:{space 3}penalized log likelihood = {res:-284.43905}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    157.22
{txt}Penalized log likelihood = {res}-284.43905{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  priwin{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}
{space 5}Meets Expectations  {c |}{col 26}{res}{space 2} .6412921{col 38}{space 2} .3617813{col 49}{space 1}    1.77{col 58}{space 3}0.076{col 66}{space 4}-.0677863{col 79}{space 3} 1.350371
{txt}{space 3}Exceeds Expectations  {c |}{col 26}{res}{space 2} 1.304273{col 38}{space 2} .5507283{col 49}{space 1}    2.37{col 58}{space 3}0.018{col 66}{space 4} .2248655{col 79}{space 3} 2.383681
{txt}{space 24} {c |}
{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2}-.4422239{col 38}{space 2} .0864881{col 49}{space 1}   -5.11{col 58}{space 3}0.000{col 66}{space 4}-.6117375{col 79}{space 3}-.2727104
{txt}{space 24} {c |}
{space 13}expectation#{c |}
c.nchallengers_sameparty {c |}
{space 5}Meets Expectations  {c |}{col 26}{res}{space 2}-.2184473{col 38}{space 2} .1461933{col 49}{space 1}   -1.49{col 58}{space 3}0.135{col 66}{space 4}-.5049809{col 79}{space 3} .0680862
{txt}{space 3}Exceeds Expectations  {c |}{col 26}{res}{space 2}-.6843173{col 38}{space 2} .2285689{col 49}{space 1}   -2.99{col 58}{space 3}0.003{col 66}{space 4}-1.132304{col 79}{space 3}-.2363306
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2} 1.614104{col 38}{space 2} .5447179{col 49}{space 1}    2.96{col 58}{space 3}0.003{col 66}{space 4} .5464767{col 79}{space 3} 2.681732
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2}-.0177317{col 38}{space 2} .0097943{col 49}{space 1}   -1.81{col 58}{space 3}0.070{col 66}{space 4}-.0369283{col 79}{space 3} .0014648
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2} 1.072565{col 38}{space 2} .3415569{col 49}{space 1}    3.14{col 58}{space 3}0.002{col 66}{space 4} .4031258{col 79}{space 3} 1.742004
{txt}{space 18}gender {c |}{col 26}{res}{space 2}-.1270721{col 38}{space 2} .3922496{col 49}{space 1}   -0.32{col 58}{space 3}0.746{col 66}{space 4}-.8958672{col 79}{space 3}  .641723
{txt}{space 19}power {c |}{col 26}{res}{space 2} .5052809{col 38}{space 2} .3436951{col 49}{space 1}    1.47{col 58}{space 3}0.142{col 66}{space 4}-.1683491{col 79}{space 3} 1.178911
{txt}{space 15}allleader {c |}{col 26}{res}{space 2}-.2496518{col 38}{space 2}  .659671{col 49}{space 1}   -0.38{col 58}{space 3}0.705{col 66}{space 4}-1.542583{col 79}{space 3}  1.04328
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2} .0520543{col 38}{space 2} .3061996{col 49}{space 1}    0.17{col 58}{space 3}0.865{col 66}{space 4}-.5480859{col 79}{space 3} .6521946
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2}-.3980567{col 38}{space 2} .6874285{col 49}{space 1}   -0.58{col 58}{space 3}0.563{col 66}{space 4}-1.745392{col 79}{space 3} .9492784
{txt}{space 19}1984  {c |}{col 26}{res}{space 2}  .048932{col 38}{space 2} .7332272{col 49}{space 1}    0.07{col 58}{space 3}0.947{col 66}{space 4}-1.388167{col 79}{space 3} 1.486031
{txt}{space 19}1986  {c |}{col 26}{res}{space 2} .2005657{col 38}{space 2} .8170271{col 49}{space 1}    0.25{col 58}{space 3}0.806{col 66}{space 4}-1.400778{col 79}{space 3} 1.801909
{txt}{space 19}1988  {c |}{col 26}{res}{space 2}  .489283{col 38}{space 2} .9623755{col 49}{space 1}    0.51{col 58}{space 3}0.611{col 66}{space 4}-1.396938{col 79}{space 3} 2.375504
{txt}{space 19}1990  {c |}{col 26}{res}{space 2} .4462522{col 38}{space 2} .9623915{col 49}{space 1}    0.46{col 58}{space 3}0.643{col 66}{space 4}    -1.44{col 79}{space 3} 2.332505
{txt}{space 19}1992  {c |}{col 26}{res}{space 2}-1.487509{col 38}{space 2} .5804568{col 49}{space 1}   -2.56{col 58}{space 3}0.010{col 66}{space 4}-2.625183{col 79}{space 3}-.3498346
{txt}{space 19}1994  {c |}{col 26}{res}{space 2}-.2120801{col 38}{space 2} .7038883{col 49}{space 1}   -0.30{col 58}{space 3}0.763{col 66}{space 4}-1.591676{col 79}{space 3} 1.167516
{txt}{space 19}1996  {c |}{col 26}{res}{space 2} .6283004{col 38}{space 2}  .973621{col 49}{space 1}    0.65{col 58}{space 3}0.519{col 66}{space 4}-1.279962{col 79}{space 3} 2.536562
{txt}{space 19}1998  {c |}{col 26}{res}{space 2} .3207682{col 38}{space 2} .9735065{col 49}{space 1}    0.33{col 58}{space 3}0.742{col 66}{space 4} -1.58727{col 79}{space 3} 2.228806
{txt}{space 19}2000  {c |}{col 26}{res}{space 2}-.6113838{col 38}{space 2} .7586143{col 49}{space 1}   -0.81{col 58}{space 3}0.420{col 66}{space 4} -2.09824{col 79}{space 3} .8754729
{txt}{space 19}2002  {c |}{col 26}{res}{space 2}-.8851921{col 38}{space 2} .7182375{col 49}{space 1}   -1.23{col 58}{space 3}0.218{col 66}{space 4}-2.292912{col 79}{space 3} .5225274
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.2582188{col 38}{space 2} .8315288{col 49}{space 1}   -0.31{col 58}{space 3}0.756{col 66}{space 4}-1.887985{col 79}{space 3} 1.371548
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .1138589{col 38}{space 2} .8832663{col 49}{space 1}    0.13{col 58}{space 3}0.897{col 66}{space 4}-1.617311{col 79}{space 3} 1.845029
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.5207114{col 38}{space 2} .7284829{col 49}{space 1}   -0.71{col 58}{space 3}0.475{col 66}{space 4}-1.948512{col 79}{space 3} .9070889
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.2697792{col 38}{space 2} .7319126{col 49}{space 1}   -0.37{col 58}{space 3}0.712{col 66}{space 4}-1.704301{col 79}{space 3} 1.164743
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.5732493{col 38}{space 2} .6937473{col 49}{space 1}   -0.83{col 58}{space 3}0.409{col 66}{space 4}-1.932969{col 79}{space 3} .7864705
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.7214563{col 38}{space 2} .7003393{col 49}{space 1}   -1.03{col 58}{space 3}0.303{col 66}{space 4}-2.094096{col 79}{space 3} .6511834
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.1269881{col 38}{space 2} .7662001{col 49}{space 1}   -0.17{col 58}{space 3}0.868{col 66}{space 4}-1.628713{col 79}{space 3} 1.374737
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}  3.10412{col 38}{space 2} .6614405{col 49}{space 1}    4.69{col 58}{space 3}0.000{col 66}{space 4}  1.80772{col 79}{space 3} 4.400519
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A13.3:
. firthlogit priwin c.les##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-367.17652}
rescale:{col 16}penalized log likelihood = {res:-367.17652}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-367.17652}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-361.75738}  
Iteration 2:{space 3}penalized log likelihood = {res:-316.56203}  
Iteration 3:{space 3}penalized log likelihood = {res:-292.98802}  
Iteration 4:{space 3}penalized log likelihood = {res:-285.95007}  
Iteration 5:{space 3}penalized log likelihood = {res:-285.45318}  
Iteration 6:{space 3}penalized log likelihood = {res:-285.44432}  
Iteration 7:{space 3}penalized log likelihood = {res:-285.44431}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     7,456
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    151.89
{txt}Penalized log likelihood = {res}-285.44431{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                        priwin{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 27}les {c |}{col 32}{res}{space 2} .5984466{col 44}{space 2} .2509693{col 55}{space 1}    2.38{col 64}{space 3}0.017{col 72}{space 4} .1065557{col 85}{space 3} 1.090337
{txt}{space 8}nchallengers_sameparty {c |}{col 32}{res}{space 2} -.496282{col 44}{space 2} .0755415{col 55}{space 1}   -6.57{col 64}{space 3}0.000{col 72}{space 4}-.6443407{col 85}{space 3}-.3482234
{txt}{space 30} {c |}
c.les#c.nchallengers_sameparty {c |}{col 32}{res}{space 2}-.1471613{col 44}{space 2} .0597118{col 55}{space 1}   -2.46{col 64}{space 3}0.014{col 72}{space 4}-.2641942{col 85}{space 3}-.0301284
{txt}{space 30} {c |}
{space 20}pripct_lag {c |}{col 32}{res}{space 2} 1.435815{col 44}{space 2} .5452329{col 55}{space 1}    2.63{col 64}{space 3}0.008{col 72}{space 4} .3671777{col 85}{space 3} 2.504452
{txt}{space 17}incumptyadvan {c |}{col 32}{res}{space 2}-.0191084{col 44}{space 2} .0098594{col 55}{space 1}   -1.94{col 64}{space 3}0.053{col 72}{space 4}-.0384325{col 85}{space 3} .0002157
{txt}{space 13}cfscore_ideologue {c |}{col 32}{res}{space 2} 1.163836{col 44}{space 2}  .335393{col 55}{space 1}    3.47{col 64}{space 3}0.001{col 72}{space 4} .5064781{col 85}{space 3} 1.821195
{txt}{space 24}gender {c |}{col 32}{res}{space 2}-.0096647{col 44}{space 2} .3946084{col 55}{space 1}   -0.02{col 64}{space 3}0.980{col 72}{space 4}-.7830829{col 85}{space 3} .7637536
{txt}{space 25}power {c |}{col 32}{res}{space 2} .4547835{col 44}{space 2} .3430567{col 55}{space 1}    1.33{col 64}{space 3}0.185{col 72}{space 4}-.2175952{col 85}{space 3} 1.127162
{txt}{space 21}allleader {c |}{col 32}{res}{space 2}-.2249226{col 44}{space 2}  .660291{col 55}{space 1}   -0.34{col 64}{space 3}0.733{col 72}{space 4}-1.519069{col 85}{space 3} 1.069224
{txt}{space 21}termlimit {c |}{col 32}{res}{space 2}-.0279854{col 44}{space 2} .3071363{col 55}{space 1}   -0.09{col 64}{space 3}0.927{col 72}{space 4}-.6299614{col 85}{space 3} .5739906
{txt}{space 30} {c |}
{space 24}yearDT {c |}
{space 25}1982  {c |}{col 32}{res}{space 2}-.4211406{col 44}{space 2} .6963856{col 55}{space 1}   -0.60{col 64}{space 3}0.545{col 72}{space 4}-1.786031{col 85}{space 3} .9437501
{txt}{space 25}1984  {c |}{col 32}{res}{space 2}-.0321407{col 44}{space 2} .7402951{col 55}{space 1}   -0.04{col 64}{space 3}0.965{col 72}{space 4}-1.483092{col 85}{space 3} 1.418811
{txt}{space 25}1986  {c |}{col 32}{res}{space 2} .2058208{col 44}{space 2} .8310735{col 55}{space 1}    0.25{col 64}{space 3}0.804{col 72}{space 4}-1.423053{col 85}{space 3} 1.834695
{txt}{space 25}1988  {c |}{col 32}{res}{space 2} .4740008{col 44}{space 2} .9687535{col 55}{space 1}    0.49{col 64}{space 3}0.625{col 72}{space 4}-1.424721{col 85}{space 3} 2.372723
{txt}{space 25}1990  {c |}{col 32}{res}{space 2} .4695617{col 44}{space 2} .9679691{col 55}{space 1}    0.49{col 64}{space 3}0.628{col 72}{space 4}-1.427623{col 85}{space 3} 2.366746
{txt}{space 25}1992  {c |}{col 32}{res}{space 2}-1.498943{col 44}{space 2} .5916994{col 55}{space 1}   -2.53{col 64}{space 3}0.011{col 72}{space 4}-2.658653{col 85}{space 3}-.3392336
{txt}{space 25}1994  {c |}{col 32}{res}{space 2} -.284174{col 44}{space 2} .7103665{col 55}{space 1}   -0.40{col 64}{space 3}0.689{col 72}{space 4}-1.676467{col 85}{space 3} 1.108119
{txt}{space 25}1996  {c |}{col 32}{res}{space 2} .6385591{col 44}{space 2} .9774879{col 55}{space 1}    0.65{col 64}{space 3}0.514{col 72}{space 4}-1.277282{col 85}{space 3}   2.5544
{txt}{space 25}1998  {c |}{col 32}{res}{space 2} .4627614{col 44}{space 2}  .979992{col 55}{space 1}    0.47{col 64}{space 3}0.637{col 72}{space 4}-1.457988{col 85}{space 3}  2.38351
{txt}{space 25}2000  {c |}{col 32}{res}{space 2}-.5813161{col 44}{space 2} .7657823{col 55}{space 1}   -0.76{col 64}{space 3}0.448{col 72}{space 4}-2.082222{col 85}{space 3} .9195897
{txt}{space 25}2002  {c |}{col 32}{res}{space 2}-.7955656{col 44}{space 2} .7268377{col 55}{space 1}   -1.09{col 64}{space 3}0.274{col 72}{space 4}-2.220141{col 85}{space 3} .6290102
{txt}{space 25}2004  {c |}{col 32}{res}{space 2}-.1936562{col 44}{space 2} .8378532{col 55}{space 1}   -0.23{col 64}{space 3}0.817{col 72}{space 4}-1.835818{col 85}{space 3} 1.448506
{txt}{space 25}2006  {c |}{col 32}{res}{space 2} .1718052{col 44}{space 2} .8799689{col 55}{space 1}    0.20{col 64}{space 3}0.845{col 72}{space 4}-1.552902{col 85}{space 3} 1.896513
{txt}{space 25}2008  {c |}{col 32}{res}{space 2}-.4835988{col 44}{space 2} .7371285{col 55}{space 1}   -0.66{col 64}{space 3}0.512{col 72}{space 4}-1.928344{col 85}{space 3} .9611464
{txt}{space 25}2010  {c |}{col 32}{res}{space 2}-.3653296{col 44}{space 2} .7392807{col 55}{space 1}   -0.49{col 64}{space 3}0.621{col 72}{space 4}-1.814293{col 85}{space 3} 1.083634
{txt}{space 25}2012  {c |}{col 32}{res}{space 2}-.6470129{col 44}{space 2} .7009417{col 55}{space 1}   -0.92{col 64}{space 3}0.356{col 72}{space 4}-2.020833{col 85}{space 3} .7268077
{txt}{space 25}2014  {c |}{col 32}{res}{space 2}-.7539954{col 44}{space 2} .7115698{col 55}{space 1}   -1.06{col 64}{space 3}0.289{col 72}{space 4}-2.148647{col 85}{space 3} .6406557
{txt}{space 25}2016  {c |}{col 32}{res}{space 2}-.1863626{col 44}{space 2} .7831446{col 55}{space 1}   -0.24{col 64}{space 3}0.812{col 72}{space 4}-1.721298{col 85}{space 3} 1.348573
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 3.243981{col 44}{space 2} .6568365{col 55}{space 1}    4.94{col 64}{space 3}0.000{col 72}{space 4} 1.956605{col 85}{space 3} 4.531357
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * MODEL A13.4:
. firthlogit priwin c.expectation##c.nchallengers_sameparty pripct_lag incumptyadvan cfscore_ideologue gender power allleader termlimit i.yearDT if priuo!=1
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-286.63189}
rescale:{col 16}penalized log likelihood = {res:-286.63189}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-286.63189}  
Iteration 1:{space 3}penalized log likelihood = {res:-272.21563}  
Iteration 2:{space 3}penalized log likelihood = {res:-256.90148}  
Iteration 3:{space 3}penalized log likelihood = {res:-250.86727}  
Iteration 4:{space 3}penalized log likelihood = {res: -250.8282}  
Iteration 5:{space 3}penalized log likelihood = {res:-250.82818}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,331
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}     69.84
{txt}Penalized log likelihood = {res}-250.82818{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  priwin{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}expectation {c |}{col 26}{res}{space 2} .6418613{col 38}{space 2} .2753583{col 49}{space 1}    2.33{col 58}{space 3}0.020{col 66}{space 4} .1021689{col 79}{space 3} 1.181554
{txt}{space 2}nchallengers_sameparty {c |}{col 26}{res}{space 2} .0127522{col 38}{space 2} .1487614{col 49}{space 1}    0.09{col 58}{space 3}0.932{col 66}{space 4}-.2788148{col 79}{space 3} .3043192
{txt}{space 24} {c |}
{space 11}c.expectation#{c |}
c.nchallengers_sameparty {c |}{col 26}{res}{space 2}-.2261439{col 38}{space 2} .1114128{col 49}{space 1}   -2.03{col 58}{space 3}0.042{col 66}{space 4} -.444509{col 79}{space 3}-.0077788
{txt}{space 24} {c |}
{space 14}pripct_lag {c |}{col 26}{res}{space 2} 1.271195{col 38}{space 2} .5456457{col 49}{space 1}    2.33{col 58}{space 3}0.020{col 66}{space 4} .2017487{col 79}{space 3} 2.340641
{txt}{space 11}incumptyadvan {c |}{col 26}{res}{space 2}-.0105942{col 38}{space 2} .0096796{col 49}{space 1}   -1.09{col 58}{space 3}0.274{col 66}{space 4} -.029566{col 79}{space 3} .0083775
{txt}{space 7}cfscore_ideologue {c |}{col 26}{res}{space 2} .8885166{col 38}{space 2} .3450939{col 49}{space 1}    2.57{col 58}{space 3}0.010{col 66}{space 4} .2121449{col 79}{space 3} 1.564888
{txt}{space 18}gender {c |}{col 26}{res}{space 2}  .020746{col 38}{space 2}  .386914{col 49}{space 1}    0.05{col 58}{space 3}0.957{col 66}{space 4}-.7375915{col 79}{space 3} .7790836
{txt}{space 19}power {c |}{col 26}{res}{space 2} .4871959{col 38}{space 2}  .337451{col 49}{space 1}    1.44{col 58}{space 3}0.149{col 66}{space 4} -.174196{col 79}{space 3} 1.148588
{txt}{space 15}allleader {c |}{col 26}{res}{space 2}-.0615553{col 38}{space 2} .6613514{col 49}{space 1}   -0.09{col 58}{space 3}0.926{col 66}{space 4} -1.35778{col 79}{space 3}  1.23467
{txt}{space 15}termlimit {c |}{col 26}{res}{space 2} .0583527{col 38}{space 2} .3010174{col 49}{space 1}    0.19{col 58}{space 3}0.846{col 66}{space 4}-.5316306{col 79}{space 3} .6483359
{txt}{space 24} {c |}
{space 18}yearDT {c |}
{space 19}1982  {c |}{col 26}{res}{space 2}-.1760334{col 38}{space 2} .6724175{col 49}{space 1}   -0.26{col 58}{space 3}0.793{col 66}{space 4}-1.493948{col 79}{space 3} 1.141881
{txt}{space 19}1984  {c |}{col 26}{res}{space 2} .2998996{col 38}{space 2} .7173019{col 49}{space 1}    0.42{col 58}{space 3}0.676{col 66}{space 4}-1.105986{col 79}{space 3} 1.705785
{txt}{space 19}1986  {c |}{col 26}{res}{space 2} .3775004{col 38}{space 2} .7982182{col 49}{space 1}    0.47{col 58}{space 3}0.636{col 66}{space 4}-1.186978{col 79}{space 3} 1.941979
{txt}{space 19}1988  {c |}{col 26}{res}{space 2} .5348847{col 38}{space 2} .9522283{col 49}{space 1}    0.56{col 58}{space 3}0.574{col 66}{space 4}-1.331449{col 79}{space 3} 2.401218
{txt}{space 19}1990  {c |}{col 26}{res}{space 2}  .583757{col 38}{space 2}  .952947{col 49}{space 1}    0.61{col 58}{space 3}0.540{col 66}{space 4}-1.283985{col 79}{space 3} 2.451499
{txt}{space 19}1992  {c |}{col 26}{res}{space 2}-1.222069{col 38}{space 2} .5594029{col 49}{space 1}   -2.18{col 58}{space 3}0.029{col 66}{space 4}-2.318478{col 79}{space 3}-.1256594
{txt}{space 19}1994  {c |}{col 26}{res}{space 2}-.0155149{col 38}{space 2} .6866819{col 49}{space 1}   -0.02{col 58}{space 3}0.982{col 66}{space 4}-1.361387{col 79}{space 3} 1.330357
{txt}{space 19}1996  {c |}{col 26}{res}{space 2} .7317856{col 38}{space 2} .9054803{col 49}{space 1}    0.81{col 58}{space 3}0.419{col 66}{space 4}-1.042923{col 79}{space 3} 2.506494
{txt}{space 19}1998  {c |}{col 26}{res}{space 2} .2715257{col 38}{space 2} .9640444{col 49}{space 1}    0.28{col 58}{space 3}0.778{col 66}{space 4}-1.617967{col 79}{space 3} 2.161018
{txt}{space 19}2000  {c |}{col 26}{res}{space 2}-.6706707{col 38}{space 2} .7446956{col 49}{space 1}   -0.90{col 58}{space 3}0.368{col 66}{space 4}-2.130247{col 79}{space 3} .7889059
{txt}{space 19}2002  {c |}{col 26}{res}{space 2}-.8015434{col 38}{space 2} .7070289{col 49}{space 1}   -1.13{col 58}{space 3}0.257{col 66}{space 4}-2.187295{col 79}{space 3} .5842079
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.1270117{col 38}{space 2}  .815859{col 49}{space 1}   -0.16{col 58}{space 3}0.876{col 66}{space 4}-1.726066{col 79}{space 3} 1.472042
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}  .068278{col 38}{space 2} .8296555{col 49}{space 1}    0.08{col 58}{space 3}0.934{col 66}{space 4}-1.557817{col 79}{space 3} 1.694373
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} -.450183{col 38}{space 2} .7060778{col 49}{space 1}   -0.64{col 58}{space 3}0.524{col 66}{space 4} -1.83407{col 79}{space 3} .9337041
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.1216788{col 38}{space 2} .6962074{col 49}{space 1}   -0.17{col 58}{space 3}0.861{col 66}{space 4} -1.48622{col 79}{space 3} 1.242863
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.1800389{col 38}{space 2} .6752364{col 49}{space 1}   -0.27{col 58}{space 3}0.790{col 66}{space 4}-1.503478{col 79}{space 3}   1.1434
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.2958617{col 38}{space 2} .6849821{col 49}{space 1}   -0.43{col 58}{space 3}0.666{col 66}{space 4}-1.638402{col 79}{space 3} 1.046678
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .1412849{col 38}{space 2} .7177974{col 49}{space 1}    0.20{col 58}{space 3}0.844{col 66}{space 4}-1.265572{col 79}{space 3} 1.548142
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 1.485011{col 38}{space 2} .7374126{col 49}{space 1}    2.01{col 58}{space 3}0.044{col 66}{space 4} .0397086{col 79}{space 3} 2.930313
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. * Table A14, with CES data - perceptions of potential candidates conform to theoretical expectations 
. use "/Users/daniellethomsen/Dropbox/LES_Shared/RR_RR_CESdata.dta", clear
{err}{p 0 4 2}
file /Users/daniellethomsen/Dropbox/LES_Shared/RR_RR_CESdata.dta
not found
{p_end}
{txt}{search r(601), local:r(601);}

end of do-file

{search r(601), local:r(601);}

{com}. clear

. use "C:\Users\cv4w\Box\CraigNew\CEL\Research\Accountability\Primaries\ReplicationFiles\JOP_200640_A14.dta"

. do "C:\Users\cv4w\Box\CraigNew\CEL\Research\Accountability\Primaries\ReplicationFiles\JOP_200640_dofile_A14.do"
{txt}
{com}. * This file contains the replication details for Table A.14 in JOP, ms#200640
. * This do-file should be run on the data JOP_200640_A14.dta
. 
. * Table A.14
. * NOTE: Sample excludes those in districts with no incumbent and opposite-party incumbent
. * MODEL A14.1: 
. reg nom98p8 naccomp8 if ptyinc8==1 | ptyinc8==.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       613
{txt}{hline 13}{c +}{hline 34}   F(1, 611)       = {res}     6.82
{txt}       Model {c |} {res}  19.459005         1   19.459005   {txt}Prob > F        ={res}    0.0092
{txt}    Residual {c |} {res} 1742.61604       611  2.85207207   {txt}R-squared       ={res}    0.0110
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0094
{txt}       Total {c |} {res} 1762.07504       612  2.87920758   {txt}Root MSE        =   {res} 1.6888

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     nom98p8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}naccomp8 {c |}{col 14}{res}{space 2}-.1161522{col 26}{space 2}  .044468{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.2034809{col 67}{space 3}-.0288236
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.689435{col 26}{space 2} .2257808{col 37}{space 1}   11.91{col 46}{space 3}0.000{col 54}{space 4} 2.246034{col 67}{space 3} 3.132836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * MODEL A14.2: 
. reg nom98p8 naccomp8 favpartyp8 commctp8 grpctp8 woman agep8 risk raisep8 dem if ptyinc8==1 | ptyinc8==.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       548
{txt}{hline 13}{c +}{hline 34}   F(9, 538)       = {res}     4.69
{txt}       Model {c |} {res} 113.804069         9  12.6448965   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1451.92586       538  2.69874695   {txt}R-squared       ={res}    0.0727
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0572
{txt}       Total {c |} {res} 1565.72993       547  2.86239475   {txt}Root MSE        =   {res} 1.6428

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     nom98p8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}naccomp8 {c |}{col 14}{res}{space 2}-.1595557{col 26}{space 2} .0472881{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.2524477{col 67}{space 3}-.0666636
{txt}{space 2}favpartyp8 {c |}{col 14}{res}{space 2}-.3025627{col 26}{space 2} .1644171{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.6255408{col 67}{space 3} .0204154
{txt}{space 4}commctp8 {c |}{col 14}{res}{space 2} .4143559{col 26}{space 2} .1871977{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0466279{col 67}{space 3}  .782084
{txt}{space 5}grpctp8 {c |}{col 14}{res}{space 2} .0305236{col 26}{space 2} .2386479{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.4382723{col 67}{space 3} .4993195
{txt}{space 7}woman {c |}{col 14}{res}{space 2}-.0904113{col 26}{space 2} .1731796{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.4306024{col 67}{space 3} .2497798
{txt}{space 7}agep8 {c |}{col 14}{res}{space 2} .1704974{col 26}{space 2} .0593012{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0540071{col 67}{space 3} .2869876
{txt}{space 8}risk {c |}{col 14}{res}{space 2}  .104805{col 26}{space 2} .2132639{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.3141271{col 67}{space 3}  .523737
{txt}{space 5}raisep8 {c |}{col 14}{res}{space 2} .2011864{col 26}{space 2} .0534084{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0962717{col 67}{space 3}  .306101
{txt}{space 9}dem {c |}{col 14}{res}{space 2}-.0289863{col 26}{space 2} .1432714{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.3104262{col 67}{space 3} .2524535
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.392652{col 26}{space 2} .4035067{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .6000099{col 67}{space 3} 2.185294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * MODEL A14.3: 
. reg run98p8 naccomp8 if ptyinc8==1 | ptyinc8==.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       628
{txt}{hline 13}{c +}{hline 34}   F(1, 626)       = {res}     2.96
{txt}       Model {c |} {res} 3.01995058         1  3.01995058   {txt}Prob > F        ={res}    0.0859
{txt}    Residual {c |} {res} 638.744381       626  1.02035844   {txt}R-squared       ={res}    0.0047
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0031
{txt}       Total {c |} {res} 641.764331       627  1.02354758   {txt}Root MSE        =   {res} 1.0101

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     run98p8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}naccomp8 {c |}{col 14}{res}{space 2}-.0452093{col 26}{space 2} .0262787{col 37}{space 1}   -1.72{col 46}{space 3}0.086{col 54}{space 4}-.0968144{col 67}{space 3} .0063958
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.586745{col 26}{space 2} .1343603{col 37}{space 1}   11.81{col 46}{space 3}0.000{col 54}{space 4} 1.322894{col 67}{space 3} 1.850597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * MODEL A14.4: 
. reg run98p8 naccomp8 favpartyp8 commctp8 grpctp8 woman agep8 risk raisep8 dem if ptyinc8==1 | ptyinc8==.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       555
{txt}{hline 13}{c +}{hline 34}   F(9, 545)       = {res}     1.70
{txt}       Model {c |} {res}  15.183494         9  1.68705489   {txt}Prob > F        ={res}    0.0852
{txt}    Residual {c |} {res} 539.832722       545  .990518756   {txt}R-squared       ={res}    0.0274
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0113
{txt}       Total {c |} {res} 555.016216       554  1.00183433   {txt}Root MSE        =   {res} .99525

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     run98p8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}naccomp8 {c |}{col 14}{res}{space 2}-.0477886{col 26}{space 2} .0283243{col 37}{space 1}   -1.69{col 46}{space 3}0.092{col 54}{space 4}-.1034267{col 67}{space 3} .0078495
{txt}{space 2}favpartyp8 {c |}{col 14}{res}{space 2} .0567986{col 26}{space 2} .0970347{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.1338092{col 67}{space 3} .2474064
{txt}{space 4}commctp8 {c |}{col 14}{res}{space 2}-.0424737{col 26}{space 2} .1161556{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.2706411{col 67}{space 3} .1856937
{txt}{space 5}grpctp8 {c |}{col 14}{res}{space 2} .0840079{col 26}{space 2} .1494674{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-.2095948{col 67}{space 3} .3776107
{txt}{space 7}woman {c |}{col 14}{res}{space 2}-.1465688{col 26}{space 2} .1043109{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.3514694{col 67}{space 3} .0583318
{txt}{space 7}agep8 {c |}{col 14}{res}{space 2}  .097817{col 26}{space 2} .0353314{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0284147{col 67}{space 3} .1672194
{txt}{space 8}risk {c |}{col 14}{res}{space 2}-.1336254{col 26}{space 2} .1276202{col 37}{space 1}   -1.05{col 46}{space 3}0.296{col 54}{space 4}-.3843131{col 67}{space 3} .1170623
{txt}{space 5}raisep8 {c |}{col 14}{res}{space 2} .0153623{col 26}{space 2} .0319198{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.0473386{col 67}{space 3} .0780633
{txt}{space 9}dem {c |}{col 14}{res}{space 2}-.0618647{col 26}{space 2} .0862868{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}  -.23136{col 67}{space 3} .1076307
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.196317{col 26}{space 2} .2417948{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .7213528{col 67}{space 3}  1.67128
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\cv4w\Box\CraigNew\CEL\Research\Accountability\Primaries\ReplicationFiles\Replication_log_JOP_200640.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Sep 2021, 15:57:05
{txt}{.-}
{smcl}
{txt}{sf}{ul off}